Embedded Software Engineer

Astemo Ltd

$90K — $120K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong programming proficiency in C/C++ and Python
  • Working knowledge of embedded software development on Linux and/or RTOS environments
  • Familiarity with AD/ADAS systems and automotive compute platforms
  • Understanding of software execution concepts in real-time embedded systems
  • Practical experience integrating application software with platform-level services
  • Strong debugging, profiling, and analysis skills
  • Flexibility and willingness to work across multiple software layers
  • Effective communication and presentation skills, with NVIDIA Drive OS experience a plus

Responsibilities

  • Develop and integrate software components for advanced AD/ADAS functions
  • Implement scheduling, orchestration, and execution logic on automotive platforms
  • Contribute to software architecture for efficient development and workflows
  • Model, analyze, and optimize software behavior for performance and reliability
  • Collaborate with cross-functional teams to support evolving software initiatives

Benefits

  • Flexible role spanning application, platform, and tooling layers
  • Opportunities to work across multiple areas as priorities evolve
  • Engagement in both current development and emerging software initiatives
  • Chance to collaborate with global teams and potentially travel abroad
Full Job Description
Position Overview and Objective

Astemo's Advanced Engineering team is hiring an Engineer II to develop embedded software for next-generation AD/ADAS ECUs. This is a flexible role that spans application, platform, and tooling layers - supporting the implementation and integration of advanced functions on automotive compute platforms. The engineer will work across multiple areas as priorities evolve and is expected to contribute to both current development needs and emerging software initiatives.

Job Responsibilities:
  • Develop and integrate software components that enable advanced AD/ADAS functions to run on embedded automotive platforms.
  • Implement scheduling, orchestration, and execution logic for advanced applications on automotive compute platforms.
  • Contribute to software architecture that supports efficient development, integration, and validation workflows for AD/ADAS applications.
  • Model, analyze, and optimize software behavior on embedded targets to meet performance and reliability requirements.
  • Collaborate with cross-functional teams to support evolving software initiatives across applications, platforms, and tooling layers.


Qualifications:
  • Strong programming proficiency in C/C++ and Python.
  • Working knowledge of embedded software development on Linux and/or RTOS environments.
  • Familiarity with AD/ADAS systems and automotive compute platforms.
  • Understanding of software execution concepts - scheduling, inter-process communication, resource management - in real-time embedded systems.
  • Practical experience integrating application software with platform-level services on embedded targets.
  • Strong debugging, profiling, and analysis skills.
  • Flexibility and willingness to work across multiple software layers as project needs evolve.
  • Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a plus.


Additionally, the ability to work independently with minimal direction is required as are strong verbal and written communication skills. Experience with PCs and application software, such as MS Office tools, is also required.

Education: Master's or Ph.D. degree in Computer Science or Electrical Engineering

Experience: Minimum of 3+ years with Masters in relevant industrial experience is required, or Ph.D.

Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.

Supervisory Responsibilities: n/a

Working conditions:
  • Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
  • Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.

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