11+ Altiris management Jobs in India

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

Position: Computer Vision Engineer

Experience: 2–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About the Role

We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.

Key Responsibilities

• Design, develop, and optimise AI Models
• Make custom CNNs/ modify existing CNNs to suit specific problems at hand
• Handle end-to-end training flow
• Implement end to end inference pipelines on standard PCs as well as on embedded systems
• Understand performance benchmarks and assess the accuracy and inference times
• Implement traditional image processing algorithms
• Factor the code to leverage underlying hardware architecture
• Prune the networks for efficiency
• Integrate the system within the application framework using C++
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
• 2–3 years of experience in relevant area
• Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
• Strong programming skills in C++ and Python.
• Experience with MATLAB for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Camera, IMU Calibration and Synchronisation
• Experience with multi-sensor fusion.
• Experience working with NVIDIA devices
• Experience on FPGA will be an added advantage
• Full understanding of Git functionality
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem-solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for solving challenging problems
• Willingness to participate in field trials and flight testing.
• Team playwe

Role Overview

We are looking for a skilled Systems Engineer with strong expertise in Ansible automation, Kubernetes, and system-level scripting. This role focuses on building scalable automation and managing GPU-aware infrastructure.

Key Responsibilities

• Develop and maintain automation workflows using Ansible
• Write and optimize Ansible playbooks for infrastructure and application deployment
• Automate system-level tasks using Bash scripting
• Debug and test automation workflows for reliability and scalability
• Manage Kubernetes clusters, including:
• Pod lifecycle management
• Networking and firewall configurations
• GPU resource mapping and scheduling
• Custom Resource Definitions (CRDs)
• Collaborate with engineering teams to integrate automation into CI/CD pipelines
• Ensure secure and scalable infrastructure for AI workloads

Requirements

• Strong hands-on experience with Ansible and automation workflows
• Solid Linux system administration experience
• Proficiency in Bash scripting
• Deep understanding of Kubernetes (pods, networking, CRDs, GPU scheduling)
• Experience in debugging and optimizing automation systems
• Strong problem-solving and ownership mindset

Nice to Have

• Experience with GPU workloads or HPC environments
• Exposure to monitoring tools like Prometheus and Grafana

7th Unit is building a wheeled upper-body humanoid robot for industrial deployment in Central Asia and Eastern Europe. This is a founding role, you own the hardware architecture from day one.

What you'll do

• Define arm and actuator architecture for v1 — degrees of freedom, actuator selection, mechanical design
• Design and build the gripper system optimized for our first deployment object set
• Develop the hot-swap battery system enabling continuous multi-shift operation
• Own structural design with field serviceability and manufacturing scale in mind
• Integrate with wheeled base platform sourced from established robotics component suppliers
• Deliver a working manipulation prototype within the first 90 days

What we need

• 3+ years designing and building physical robotic systems that operated outside a lab
• Hands-on experience with actuator selection, motor control integration, and real-world mechanical failure modes
• You have personally assembled and debugged a working robotic system end-to-end
• Comfortable making architecture decisions under uncertainty and iterating fast
• Experience with off-the-shelf component integration is a strong plus

Structure

• Position starts Q3 2026
• Equity negotiated directly, founding engineer package
• Remote during pre-build phase. In-person required from prototype assembly onward

Candidate should have 6-9 years of experience in IoT embedded systems. He/ She should be

passionate, tech savvy, academically sound, have interest in embedded devices and

technologies.

Experience:

• Exposure to Microcontroller/Microprocessor Architecture /Family e.g. ARM Cortex,

Microchip, Xtensa ESP32, TI CC32XX, STM32

• Knowledge of Bare metal and any RTOS (Free RTOS, uC OS, EmbOSs, VxWorks, QNX)

• Knowledge of Microcontroller peripherals and low level drivers e.g. ADC, DAC, I2C, SPI,

UART, CAN, RS485, DMA, Ethernet, Display

• Knowledge of networking concepts like OSI layers, embedded TCP/IP stacks and common

IP protocols

• Knowledge of RF protocols WIFI, Bluetooth/BLE, IoT Cellular

• Knowledge of IoT communication protocols MQTT, COAP, AMQP

• Knowledge of Build toolchains and framework such as IAR, GCC, Keil, Mplab

• DFMA and DFMEA, Design release process

• Coding standards, guidelines and compliance tools

• Version control and repositories using git tools

• Software quality assurance and automated testing tools Experience / Skills Embedded software design cycle

• Documenting Software Design (flow charts, state diagram, logic design, analysis, implementation, debugging and testing etc)

• Good hands-on programming in Embedded C, C++.

• Programming in scripting languages such as batch, shell, python is a plus.

• Experience with AWS/Google cloud for device connectivity. Exposure to IoT cloud services. e.g. AWS IoT

• Software and Hardware integration testing and troubleshooting

• Protocol debugging using protocol analyzer.

• Understanding of Schematic/ Hardware design around microcontrollers like ST, TI, Atmel, Microchip, ARM core

• Design and implement software of embedded devices and systems from requirements to production and commercial deployment
• Design, develop, code, test and debug system software
• Review code and design
• Analyze and enhance efficiency, stability and scalability of system resources
• Integrate and validate new product designs
• Support software QA and optimize I/O performance

Key Responsibilities:

1.    Development, integration and testing of embedded software in the Embedded Linux RTOS

2.    Integrate Application based on Adaptive AUTOSAR Platform

3.    Contribute for Architecture, Detailed design, programming in C++ (11/14/17)

4.    Perform Unit, Integration Tests of developed Application

5.    Detail oriented systematic problem-solving approach in the embedded software.

6.    Debug embedded software on hardware platforms for issue identification and resolution

Minimum qualification criteria:

1.    Bachelor's degree in Electronics, Computer Science, Electrical Engineering, or related field

2.    2+ years of experience in software development in C or C++

3.    2+ years of experience in designing and implementing embedded systems for high performance, high reliability real-time embedded computing platforms

● Write Effective Codes In C++, Develop Software For Embedded Systems Based On STM32, NRF
● Support And Improve Existing Software
● Prepare Documentation For The Created Software. Qualifications
● Confident Knowledge Of C++ 17, Object-Oriented Programming, Embedded Software Development
● Proficiency With Microcontrollers Of The STM32 And / Or NRF Series
● Experience With RTOS
● Familiarity With Git, Linux
● Technical English
● Knowledge Of Python As An Advantage
● Any Experience With UAS \ UAV \ Drones is much appreciated

 Job Description: Senior Software Engineer- Embedded Systems

Videogram is looking for Software Engineer in Embedded Systems who will be responsible for designing the embedded systems and installing them in machines and tools. You will be playing an important role in our software team who will be responsible to design and develop the software that controls the processor (micro-controllers and digital signal processors) of the machine. You come with a role as a professional Embedded System Software Engineer to execute a complete embedded software development lifecycle.

Responsibilities:

• Design and implement software of embedded devices and systems from requirements to production and commercial deployment. Responsible for the complete embedded software development lifecycle
• Design, develop, code, test, and debug system software
• Coordinate with the engineers from other disciplines to develop the end product of the requisite standards
• Customize the software to suit the needs of the product nature and expected functioning
• Debug the system to remove the anomalies and inconsistencies

Requirements:

• Candidates require a bachelor's degree in computer science, electrical engineering, software development, embedded software, etc. 
• The candidate should be an undergraduate in Computer Science or a relevant field
• Hands-on experience in C++11 or later programming languages
• Knowledge of GIT Version control
• Experience in doing bare metal or RTOS development
• Hands-on experience in developing the code in Linux
• They require exceptional programming skills and competence in using software tools. 
• Knowledge of operating systems and of the interaction between hardware/software is important for this profile. 
• The attributes of problem-solving ability, analytical skills, proactive behavior, and an adaptable approach are important in this position. 
• This discipline of engineering provides scope for creative minds and poses challenges to perform quality work.
• Scripting in Python & Bash is an add-on
• Experience in any of the following technologies:

           UART | SPI | I2C |MIPI DSI |Display Port | Low-Level Sata

Additional/ Desirable Interests:

• Personal interest in videography/ photography and audio production
• Experience working programmatically with videos/ images/ audio
• Exposure to low-level details of any video/ image codecs
• Exposure to movie container file formats especially QuickTime/mp4
• Working knowledge of exFAT file system