Orangemint Technologies Private Limited

Interested in designing award-winning wearables while managing challenging constraints so that your products are used everyday by millions of users? Then read on..

ULTRAHUMAN • HARDWARE

Hardware Design Engineer Wearables

Bangalore (Kudlu Gate)| • On-site | Full-time |

ABOUT THE ROLE

Ultrahuman's Hardware division builds award-winning wearables the Ultrahuman Ring and Ring Air pushing consumer technology in health and metabolic fitness. We're looking for a Hardware Design Engineer to own electronics design for our next-generation smart rings, from architecture and schematic capture through PCB layout, bring-up, and mass production.

This is a hands-on role at the extremes of miniaturization and power efficiency. You'll make architecture-level component decisions, drive high-density and RF layout, and take designs through NPI to volume — working closely with mechanical, firmware, and manufacturing teams on fast product cycles.

KEY RESPONSIBILITIES

Architecture & Schematic Design

• Translate product requirements into hardware architecture, then into schematics and manufacturable PCB designs using OrCAD / Allegro (Cadence).
• Own component selection across MCU/SoC, PMIC, sensor AFEs, and RF front-ends — balancing size, power, cost, and supply availability.
• Handle schematic-to-layout conversion and netlist import; create and maintain symbol/footprint libraries and land patterns.

High-Density & RF Layout

• Design and review high-density (HDI), rigid, and rigid-flex PCB layouts for space-constrained wearable form factors.
• Design 2.4 GHz BLE antennas and NFC coils, matching networks, and controlled-impedance routing; support antenna tuning and RF validation.
• Apply signal-integrity best practices for high-speed digital interfaces and mixed-signal boards.

Power & Low-Power Design

• Architect power trees around PMICs, buck/boost converters, and LDOs, including Li-ion charging for small-capacity cells.
• Build and validate ultra-low-power current budgets to meet multi-day battery-life targets.
• Strong grasp of power electronics and active/passive component behaviour.

Sensor Integration

• Integrate optical biosensing (PPG) AFEs, IMUs, temperature sensors, and haptics; own I²C/SPI interface design and analog front-end layout.

Manufacturing & DFM

• Own Gerber/ODB++ release, fabrication and assembly drawings, panelization, and full manufacturing data packages.
• Prepare and maintain BOMs; evaluate and qualify alternate / second-source components.
• Drive DFM/DFA reviews with fab and SMT/EMS partners; support NPI through EVT/DVT/PVT to mass production.
• Sound understanding of PCB materials, stackups, and component assembly processes.

Compliance, Reliability & Validation

• Apply EMI/EMC, thermal, and mechanical design best practices.
• Support pre-compliance and certification across FCC, CE, BIS, and RoHS, and familiarity with IEC standards for PCB design safety.
• Coordinate with test engineers on board bring-up and PCB validation; run circuit simulations for RF and signal/timing optimization.

Ownership & Collaboration

• Independently manage hardware projects end-to-end, including vendor coordination and delivery of final hardware.
• Collaborate with mechanical engineers to optimize designs and meet project timelines.
• Bring the latest design tools, methodologies, and industry best practices into the team.

REQUIRED QUALIFICATIONS

• Bachelor's or Master's in EEE, Electronics, or equivalent practical experience.
• 4+ years of hands-on hardware / PCB design experience, ideally in consumer electronics or wearables.
• Proficiency with a leading schematic and PCB toolchain (OrCAD / Allegro preferred).
• Proven track record taking a product from schematic through layout to volume production.
• Working knowledge of power electronics and active/passive component selection.
• Familiarity with global certifications (FCC, CE, BIS, RoHS) and IEC PCB safety standards.

PREFERRED / BONUS

• Experience with miniaturized high-density or rigid-flex designs.
• RF design experience (2.4 GHz / BLE, NFC, antenna tuning and matching).
• EMI/EMC design and pre-compliance testing experience.
• Low-power / battery-operated wearable product experience.
• Familiarity with reliability methods (DFMEA, derating) and RF / signal-timing circuit simulation.

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

Are you interested in writing agentic systems that helps companies like Coca-Cola, ITC and Lenovo drive E-commerce success? Do you want to bring Autonomy to E-commerce? Then read on and apply.

Applied Scientist - Decision AI

Location: Bengaluru

Work Schedule: Hybrid (Candidate must be based in Bengaluru - 1-2 days of WFO may be required at a later date)

About Kily

Kily is an AI company bringing autonomy to digital commerce growth. We build autonomous agents that manage Advertising, Pricing and Listings for brands and sellers across commerce marketplaces.

Performance in modern commerce shifts constantly - across marketplaces, categories and cities - faster than teams can manually track, diagnose and act on. Kily's agents work continuously against real business objectives with each brands unique context, objectives and operating constraints and keeping humans in the loop where it matters.

The Role

We are looking for an Applied Scientist to build the models and decision systems behind Kily's recommendations and actions. The work is grounded in messy, real-world commerce data help build Kily's core decision intelligence layer: systems capable of understanding complex commerce data, determining why performance is changing, deciding what should be done about it, and ultimately taking actions autonomously at scale. You will work at the intersection of learning algorithms, decision making under uncertainty and agentic systems.

What You'll Do

·      Conduct deep analysis of commerce data to derive insights, and identify gaps and new opportunities

·      Develop scalable and effective machine-learning models and optimisation strategies to solve business problems across advertising, pricing and listings

·      Define and lead science initiatives from problem framing through production deployment in a high-ambiguity environment

·      Identify and build the sequential feedback loops that make decisions improve over time

·      Design evaluation frameworks to measure the quality and business impact at scale

·      Work closely with engineering, analytics and product teams to take models from experimentation into production

What We're Looking For

·      4+ years in Applied ML/AI, Data Science. Masters or PhD in a quantitative field is a plus

·      Deep proficiency in Python, SQL, statistics and data analysis

·      Hands-on experience developing, deploying and maintaining the end-to-end lifecycle of machine-learning models

·      Experience with LLMs, fine-tuning, AI agents, optimisation or sequential decision systems is a strong plus

·      Exposure to ecommerce, marketplaces, advertising or pricing data is valuable but not essential

·      Strong problem-solving and communication skills; ML research experience is a plus

WHY KILY

Kily is already working with leading brands including ITC, Unilever, Mondelez, Coca-Cola and Lenovo, and has recently raised an INR 30 crore ($3.1 mn) Seed round led by Sorin Investments, with participation from Razorpay and Wyser Capital. You'll have the opportunity to build a foundational AI system from an early stage - one designed not merely to generate insights, but to autonomously drive real-world business

outcomes.

Do you want to own the PMIC, PLL, and PCIe buffer architectures that ship in millions of vehicles? Do you want to build and lead the team solving India's toughest automotive power and clocking challenges?

Role: Head of Engineering

Level Five Cartronics | Fabless Automotive Semiconductor Design

Location: MG Road, Bengaluru, Karnataka, India (On-site)

About Us

Founded by serial Entrepreneurs, Level Five Cartronics is a fabless semiconductor design company headquartered in Bengaluru, building automotive-grade Power Management ICs (PMICs), high-precision oscillators, and high-performance phase-locked loops (PLLs) for the next generation of vehicle electronics. Our portfolio centres on low-EMI power delivery — including spread-spectrum EMI suppression — and low-jitter clocking and interface solutions for safety-critical solutions and infotainment systems. We design DC-DC converters, LDOs, and clock distribution networks (including low-jitter PCIe Gen 4, 5, and 6 buffers) in CMOS and BCD high-voltage processes across the 55nm, 90nm and 180nm nodes. We own our products end to end, from architecture through silicon characterization and productization, as part of India's growing fabless semiconductor ecosystem.

The Role

We are looking for a hands-on Head of Engineering, based at our Bengaluru headquarters, to lead our analog/mixed-signal design organization. This is a senior leadership position for an engineer who has personally taken complex automotive power, clocking, and high-speed interface products from concept to high-volume production — and who can build, mentor, and scale the cross-functional team that does it again and again.

You will set the technical direction for our PMIC, oscillator, PLL, and PCIe buffer roadmaps, own design quality and tape-out readiness, and partner closely with characterization, product, and test engineering to ensure every product meets stringent automotive reliability, jitter, and EMC requirements.

What You'll Do

1. Lead and grow the analog/mixed-signal design, layout, and verification teams across multiple product lines, based out of our Bengaluru engineering center.

2. Own the technical architecture and execution of automotive-grade PMICs, DC-DC converters, LDOs, low phase noise Fractional-N phase-locked loops (PLLs), and low-jitter PCIe Gen 4, 5, and 6 buffers.

3. Target high-speed interface applications by driving low phase noise PLL architectures explicitly optimized for PCIe Gen 4, 5, and 6 standards.

4. Drive designs across CMOS and BCD high-voltage processes at 55nm, 90nm and 180nm, from specification through tape-out and qualification.

5. Set and enforce design methodology, review gates, and tape-out criteria; review schematics, layout, and verification plans personally where it matters.

6. Partner with characterization engineers on lab bring-up, silicon debug, and correlation of measured results to simulation.

7. Work side by side with product engineers on productization, test development, yield, and sustaining.

8. Build and lead cross-functional teams; recruit, develop, and retain top analog and layout talent in India's semiconductor talent market.

9. Be a technical authority and final escalation point for difficult design and silicon issues.

What You'll Bring

- Minimum of 12 years (preferably more) of experience in analog/mixed-signal design, layout, and productization.

- Demonstrated track record of taped-out databases and shipping full products in volume, not just isolated blocks.

- Deep expertise across the full flow: schematic design, layout, and lab characterization (understanding how each one constrains the others).

- Hands-on design of DC-DC converters and LDOs in CMOS and BCD high-voltage processes.

- Expertise in clocking and interfaces: deep understanding of low phase noise design, Fractional-N PLL architectures, and low-jitter PCIe Gen 4, 5, and 6 clock buffers/drivers.

- Experience with PMICs, oscillators, and spread-spectrum / EMI suppression techniques.

- Strong working knowledge of the 55nm, 90nm and 180nm process nodes.

- Extensive experience with Cadence EDA tools across the design and verification flow.

- Mixed-signal behavioral modeling in Verilog (Verilog/Verilog-AMS).

- Proven history of working closely with characterization and product engineers through bring-up and ramp.

- Demonstrated success building, leading, and recruiting cross-functional engineering teams.

Nice to Have

- Automotive qualification experience (AEC-Q100, ISO 26262 / functional safety awareness).

- Strong EMC/EMI design and measurement background.

- Experience scaling an engineering organization in a fabless environment, ideally within India's semiconductor ecosystem.

Why Level Five Cartronics

You'll own real products in a fast-moving automotive market, work across the full design-to-silicon flow, and shape the engineering culture of a growing fabless company based in Bengaluru — one of India's leading semiconductor design hubs. If you've built power, clocking, and high-speed interface products that ship in cars and you want to lead the team that builds the next ones, we'd like to talk.

Level Five Cartronics is an equal opportunity employer.

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops, we were selected as one of just 20 startups by Google, and we already have paying customers like Kotak and Myntra using the product in production. Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Founding Product Engineer, Applied AI

Location: Mumbai • Hybrid • Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesnt ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

Think Palantir Forward Deployed Engineer, but for AI agents. An engineer who owns product outcomes end-to-end.

WHAT YOU'LL DO

Day-to-day split: roughly 60% in Codex and Claude Code shipping customisations, 40% in client rooms understanding what to ship next.

• Customise the agents. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code are your primary IDEs. You ship working code, not specs for someone else to build.
• Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem. No PM-engineer handoff to hide behind.
• Problem-solve in real time. Client says “the output tone is off for our brand” or “the research agent is missing X data source” — you diagnose, fix, and redeploy, usually within days.
• Hold your own on creative. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most engineers reach for the prompt. The good ones diagnose first.
• Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.
• Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create become the foundation others work from.

WHAT YOU NEED

• Real engineering chops. You can read a codebase, write production code, debug agent failures, and ship to live clients. AI tools are your accelerant, not your crutch.
• Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.
• Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting. If client calls feel like tax to you, don’t apply.
• Some creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.
• Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

• You’re an engineer who realised products live or die on customisation, not architecture.
• You’ve been frustrated by being kept away from customers.
• You like building with AI tools and want a role where that’s the job, not a side experiment.
• You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

• You want to optimise systems in a corner with headphones on.
• You think client calls are below your pay grade.
• You think AI is overhyped (we don’t).
• You need a fully scoped ticket queue and weekly sprint rituals.

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops. We were selected into Google's AI Accelerator program, and we already have paying customers like Kotak and Myntra using the product in production.

Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Role Name: Founding Product Manager, Applied AI

Location: Mumbai • Hybrid •

Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesn’t ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

You’re a PM who knows the spec-to-engineer handoff is where products die. So you don’t hand off. You open Claude Code or Codex and ship the change yourself.

WHAT YOU'LL DO

Day-to-day split: roughly 60% on client work, product judgment, and shaping what to ship — 40% directly in Codex and Claude Code shipping it.

·      Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem.

·      Translate ambiguity into working systems. Clients don’t know what they want until they see it. You probe, prototype, demo, iterate — without waiting for an engineer to be free.

·      Customise the agents yourself. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code do the heavy lifting; your product judgment does the steering.

·      Diagnose creative problems sharply. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most PMs nod and forward to engineering. The good ones diagnose first, then fix.

·      Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.

·      Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create, become the foundation others work from.

WHAT YOU NEED

·      Real product judgment. You can hear “we need a dashboard” and figure out the actual problem is “the marketing director doesn’t trust the agent’s decisions yet.” You’ve done this before, in a role where the outcome was on you.

·      Hands-on technical ability. You don’t need a CS degree, but you must be able to read code, write code with AI tools, debug, and ship. If you’ve never opened Claude Code or Codex and built something real, this role isn’t for you. Coding is part of the daily job, not an occasional adventure.

·      Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.

Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting.

·      Creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.

·      Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

·      You’re a PM who realised the engineer handoff is where your products die.

·      You’ve quietly learned to ship in Claude Code or Cursor on the side because you got tired of waiting.

·      You want a role where coding ability is upside, not heresy.

·      You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

·      You want to write strategy decks more than you want to ship features.

·      You think “PM doesn’t code” is a principle worth defending.

·      You think AI is overhyped (we don’t).

·      You need a fully scoped backlog and weekly sprint rituals.

Are you looking for embedded work where "it compiles" isn't good enough it has to survive 5,000+ km and 30+ days underwater without a single reboot? This is hardware and firmware built for zero-margin-for-error conditions. Read on, if you are interested...

Job Title: Lead - Embedded Engineering

Location: Bangalore | Full-Time | Experience: 8-10 Years

About Client Company

Client Company is building autonomous ships and submarines that operate in the world's most hostile environments. We're executing India's flagship autonomous submarine project — the Jalkapi XLAUV — on order from the Indian Navy. This is an unmanned submarine weighing over 20 tons that can travel 5,000+ kilometers autonomously and operate in the ocean for 30+ days at a time.

We're creating some of the largest autonomous robots in the world, machines with direct impact on the global economy and national security. While autonomous cars in India may still be a dream, autonomous ships and submarines are already a reality, and it is possible to build for the world from India.

The Role

·      We are looking for Lead - Embedded Engineering to own the electrical, electronics, power systems, and firmware that bring our autonomous vessels to life. In this role, you will:

·      Own the vessel’s electrical and embedded systems end-to-end — firmware, PCB design, schematics, wiring, and power electronics.

·      Design the electrical and power architecture of the platform, from board level to whole-vessel wiring.

·      Work closely with our mechanical, software, and robotics teams to integrate, bring up, and field-test the platform.

·      This is a rare opportunity to build the embedded and electrical backbone of real-world autonomous platforms that operate in some of the most challenging environments on the planet.

Key Responsibilities

·      Lead & Own the electrical and embedded systems effort — the firmware, electronics, and power systems that run the vessel.

·      Design & Develop PCBs, schematics, and wiring diagrams for the whole vessel, covering compute, power, communication, and sensor/actuator interfaces.

·      Design driving and power-electronics circuits — DC-DC converters, power supplies, electrical isolation, and protection — with due attention to EMI/EMC.

·      Develop & Maintain firmware for microcontrollers and onboard compute, ensuring reliable real-time operation.

·      Integrate sensors and actuators — such as GNSS, INS/AHRS, altimeters, pressure and depth sensors, acoustic modems, thrusters, fins, and battery systems — into the platform.

·      Support hardware bring-up, wiring, and in water testing of the vessel, in coordination with the mechanical and software teams.

·      Drive power management and energy-system design for long-endurance autonomous operation.

·      Plan and conduct compliance and qualification testing of the electronics and power systems — including EMI/EMC, environmental, and related checks — to ensure the platform meets the required standards.

·      Maintain thorough engineering documentation — schematics, wiring diagrams, design records, and test reports — to ensure traceability and supportability across the platform's life.

·      Establish robust electrical and embedded development, review, and testing practices to ensure dependability during trials and at sea.

·      Support field trials (pool, harbour, and sea) — diagnosing and resolving embedded, electrical, and hardware issues on site.

·      Mentor & Guide embedded engineers and uphold engineering best practices.

Required Qualifications

·      8-10 years of hands-on embedded systems experience spanning firmware, hardware, and power electronics.

·      Strong embedded firmware skills for microcontroller-based systems.

·      Strong hardware design skills — schematic capture, multi-layer PCB design, and board debugging.

·      Experience integrating sensors and actuators over interfaces such as UART, SPI, I2C, CAN, and RS-232/485.

·      A working understanding of how device drivers interface with the higher-level software/autonomy stack.

·      Strong debugging skills across hardware and firmware.

Preferred Experience

·      Background in robotics, marine/subsea systems, defense, automotive, or aerospace.

·      Experience with autonomous or unmanned systems.

·      Familiarity with power system design

Why Join Company

·      Build the Hardware That Brings Autonomy to Life: You will build the electrical, electronics, power systems, and firmware that run autonomous vessels across a range of applications — from our flagship Jalkapi XLAUV, a 20-ton submarine travelling 5,000+ kilometres underwater, on platforms operating from the coast to the deep sea. The challenge of building hardware that runs reliably for weeks, beneath the surface, is unlike anything else being built in India.

·      Mission Impact: The electronics and firmware you build are the nervous system of vessels on live missions — including defence and security operations of national importance. Every board you design and every line of firmware you write directly shapes whether the platform performs, and returns safely.

·      Technical Ownership: You will own the embedded and electrical stack from the ground up — hardware, power, firmware, integration, and bring-up.

·      Cross-Disciplinary Work: Work at the intersection of electronics, power, mechanical, software, and robotics. Few embedded roles let you work this close to the full system you help bring to life.

·      Benefits: Compensation benchmarked to top-quartile for the role, health insurance for you and your family and other benefits.

Are you looking to break out of the silo of pure-tech engineering and build systems that directly move millions in global revenue? If you want to own an entire, high-impact platform end-to-end and see the immediate business value of your code every single day, this is your playground. At Ultrahuman, you will act as a critical bridge between deep engineering and global market execution, turning data intelligence into autonomous, revenue-driving action across 100+ countries. 

About the Company: 

Ultrahuman is one of the world's fastest-growing wearable companies. The Ultrahuman Ring AIR — the world's lightest sleep-tracking smart ring — sells in 100+ countries. We operate like a product company in every function, and marketplaces is no exception: our Amazon business across the UK, Germany, Canada, Australia, India, the UAE and beyond runs on uh-amazon, an in-house platform we built ourselves. 

Role: Marketplace Platform Engineer 

Location: Begur, Bengaluru 

Schedule: Hybrid. 

Marketplace Platform Engineer 

Turn a read-only intelligence platform into the hands that run a global Amazon business. 

Why this role exists 

uh-amazon already does the seeing: a fleet of agents producing daily intelligence across every marketplace, an automated fulfillment middleware that intercepts and routes every order, and a self-hosted agent platform the team uses without writing code. But it writes almost nothing back to Amazon — every ads change, price correction, and listing push is still done by hand. That write side is unbuilt, and it is worth more than the entire team's cost: the daily briefs already flag large sums of recoverable ad spend that no one has the hands to recover. You will be the platform's owner and the team's force multiplier. 

What you'll own 

• The uh-amazon codebase end-to-end — the FastAPI middleware, the agent fleet, the self-hosted agent platform, and the deploy pipeline 
• The write side, behind staged approval gates — the order-management bridge first, then ads execution, repricing, and listing-push agents, each earning the right to act 
• Platform trust — kill the false-positive classes and fix the chronically failing agents, so the team acts on the briefs instead of second-guessing them 
• Operator self-serve — the team adds and tunes agents through the platform without touching code 

Your first 90 days 

• Ship the order-management bridge that removes the last manual step in fulfillment 
• Ship the first ads-execution agent behind a human approval gate, working the platform's existing recommendation lists 
• Eliminate the top false-positive classes in the daily briefs 

What we're looking for 

• Strong Python (FastAPI or similar) and real API-integration depth — OAuth, rate limits, retries, idempotency; you have built against messy third-party APIs in production 
• LLM-agent experience — you have built tool-using agents or LLM pipelines, designed prompts and tool schemas, and debugged why a model did something 
• Ship-fast evidence — small PRs, production ownership, comfort being the only engineer on a system 
• Comfort owning production writes against a live revenue channel, with gates and audit trails you design 

Strongly preferred 

• Amazon SP-API or Ads API experience specifically — this collapses your ramp to near zero 
• E-commerce domain (order management, marketplaces, repricing, feeds); container/orchestration experience 
• A public GitHub with real contributions 

Role: Senior MCAL Engineer 

Location: Ahmedabad (On-site) 

Experience: 7–10 Years 

Type: Full Time 

About company 

Requisimus is an IT consulting and service organization headquartered in Germany. With over 25 years of expertise and global presence, we are committed to customer excellence and focused in addressing niche areas of product engineering, process consulting and software development in automotive, railways, production automation, data management and business IT domains. Requisimus, India incubated since 2023, is focused on providing consulting and engineering services for embedded product development and software solutions. 

Job Summary 

We are seeking experienced Senior MCAL Engineers with 7–10 years of expertise in AUTOSAR Classic Platform development for automotive ECUs. The ideal candidate will possess strong hands-on experience in MCAL development, configuration, integration, and AUTOSAR BSW integration on Infineon AURIX (TC3xx/TC4xx) microcontroller platforms. The role requires strong Embedded C programming skills, software integration expertise, and adherence to Automotive SPICE and quality standards while working with global engineering teams. 

Key Responsibilities 

MCAL Development & Configuration: Configure and integrate AUTOSAR MCAL modules for automotive ECU projects. 

AUTOSAR BSW Integration: Integrate MCAL with AUTOSAR Basic Software (BSW), ECU Abstraction Layer and RTE. 

Software Development & Validation: Develop embedded software using C language and perform testing/debugging. 

Process Compliance & Quality: Follow Automotive SPICE and MISRA-C guidelines. 

Technical Leadership & Collaboration: Mentor junior engineers and collaborate with global teams. 

Required Skills & Experience 

Bachelor's or Master's degree in Electronics, Electrical Engineering, Computer Science, or a related field. 

7–10 years of experience in Automotive Embedded Software Development. 

Strong experience in AUTOSAR Classic Platform development and integration. 

Hands-on experience with MCAL modules such as MCU, PORT, DIO, ADC, GPT, ICU, PWM, WDG, SPI, CAN, LIN, FLS, and FEE. 

Good understanding of AUTOSAR architecture, including MCAL, ECU Abstraction Layer, BSW, and RTE. 

Experience in ECU bring-up, board support package integration, and software integration activities. 

Strong Embedded C programming and debugging skills. 

Experience in root cause analysis and troubleshooting of embedded software issues. 

Hands-on experience with Infineon AURIX microcontrollers (TC3xx, TC4xx). 

Knowledge of multicore architectures and software development on AURIX platforms. 

Experience with AUTOSAR configuration tools such as EB Tresos, Vector DaVinci Configurator, or equivalent. 

Strong understanding of automotive communication protocols such as CAN, LIN, and SPI. 

Experience with software configuration management tools such as Git and Bitbucket. 

Experience with defect and change management tools such as Jira. 

Good to have 

Exposure to ISO 26262 Functional Safety projects. 

Experience with Vector CANoe and CANalyzer. 

Knowledge of automotive diagnostics and bootloader development. 

Experience with Ethernet and automotive communication stacks. 

Python scripting for automation and tooling activities. 

What We Offer 

Opportunity to work on cutting-edge automotive software programs for global customers 

Exposure to AUTOSAR Classic Platform and Infineon AURIX TC3xx/TC4xx technologies 

Collaborative and dynamic engineering environment 

Learning and development opportunities 

Technical leadership and career growth opportunities 

Looking to grow your career with a global leader?

Join the Indian unit of a multi-billion dollar German MNC (owned by Schneider Electric) that offers:

·      High Growth: 20% YoY expansion building world-beating software.

·      True Balance: Peak performance with a 4.1 Glassdoor rating for work-life balance.

Apply to the job below!

Job Title: Senior Backend Engineer (.NET Core)

Location: Nashik, India

Employment Type: Full time

Experience: 8+ years

The job  

We are looking for a Senior Backend Engineer (.NET Core) to join our team. This is a hands-on individual contributor role with additional responsibility to guide and mentor backend engineers across senior, mid, and junior levels.

The ideal candidate should have strong experience in .NET Core (8.0+), microservices architecture, API design, and cloud-native development on Azure. The candidate will actively contribute to platform-level backend services, shared components, and integrations across EcoTools and Unify initiatives, while helping establish backend engineering best practices across the team.

Key responsibilities 

- Design, develop, and maintain scalable backend services and APIs using .NET Core (8.0+).

- Build microservices-based backend APIs and tools aligned with EcoTools platform architecture.

- Develop secure and high-performance REST APIs used by micro frontend applications and other services.

- Contribute to backend architecture decisions, including service design, API standards, authentication, and data access patterns.

- Integrate backend services with platform services such as authentication, messaging, logging, and shared Unify components.

- Ensure backend solutions meet non-functional requirements (performance, scalability, reliability, and security).

- Guide and mentor backend engineers through code reviews, design discussions, and architectural best practices.

- Collaborate with frontend engineers, DevOps, and platform teams to ensure seamless system integration.

- Implement unit and integration tests to ensure high code quality and reliability.

- Contribute to CI/CD pipelines, deployment automation, and observability improvements.

- Participate in technical documentation, ADR discussions, and architectural governance reviews.

- Support engineering teams in troubleshooting production issues and improving system stability. 

Essential requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

- 6–9 years of hands-on backend development experience using .NET Core / ASP.NET Core.

- AI Skill Level: Has built or contributed to AI-powered features. Understands prompt, design, evaluation, guardrails, and failure modes.

- Have hands on in spec/skill driven agentic AI development. 

- Strong expertise in REST API design, microservices architecture, and distributed systems.

- Experience working with Azure cloud services (App Services, Azure SQL, Event Hub, Service Bus, or similar).

- Solid understanding of authentication and authorization mechanisms (OAuth2, JWT, OpenID Connect).

- Experience with database technologies such as SQL Server, PostgreSQL, or NoSQL systems.

- Strong knowledge of clean architecture principles, SOLID design patterns, and scalable backend design.

- Experience working in Agile software development environments.

- Strong communication and collaboration skills.

- Strong problem-solving skills, debugging, and performance optimization skills, ownership mindset, and ability to collaborate across teams. 

- Experience working in Agile software development methodologies.

- Ability to manage responsibilities independently and deliver results within deadlines.

Desired skills and competencies

- Experience with distributed application frameworks such as Dapr.

- Exposure to event-driven architectures and messaging systems.

- Familiarity with API Management, gateway patterns, and platform integrations.

- Experience working with large-scale SaaS platforms and micro services architectures.

- Exposure to AI-assisted development tools and modern engineering practices.