Senior Embedded Software & DevOps Engineer - Powertrain

You will collaborate across engineering teams to deliver high-quality, efficient, and scalable software solutions throughout the full development lifecycle.

Key Responsibilities

Develop and maintain embedded C/C++ software for automotive powertrain applications

Support compiler/toolchain evaluation, configuration, optimization, and maintenance

Participate in the full software development lifecycle including requirements, design, coding, testing, and integration

Analyze compiler optimizations, generated assembly code, linker scripts, and build outputs

Build and maintain CI/CD pipelines and automation frameworks for embedded software

Collaborate with cross-functional teams to ensure software quality, performance, and compliance

Perform debugging, validation, and integration using industry-standard tools

Basic Qualifications:

• Bachelor’s degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical field.
• Minimum 5 years of experience in embedded software development, compiler/toolchain engineering, DevOps, or related automotive software domains.
• Strong proficiency in embedded C and C++, including both hand-coded and auto-generated software.
• Experience with embedded software development for automotive systems, including real-time operating systems (RTOS) and bare-metal programming.
• Expertise with compiler technologies, cross-compilation environments, and embedded software toolchains.
• Strong understanding of:
• Compiler optimizations and compiler flags
• Generated assembly code analysis
• Linker scripts and map files
• Build systems and automation frameworks
• Experience with automotive-grade microcontrollers/processors such as ARM Cortex-R/M, Infineon AURIX, NXP S32, PowerPC, RISC-V, or TriCore.
• Familiarity with AUTOSAR software development, including software component configuration, code generation, and integration.
• Hands-on experience with model-based development tools such as MATLAB, Simulink, TargetLink, and Embedded Coder.
• Experience with software debugging and validation tools such as Trace32, dSPACE, Vector tools, or equivalent HIL systems.
• Working knowledge of automotive communication protocols such as CAN, LIN, and UDS.
• Familiarity with static code analysis and coding standard compliance tools such as Coverity, Polyspace, and MISRA C/C++.
• Experience with build systems and scripting tools such as CMake, Make, SCons, Bazel, Python, Bash, Shell scripting, and Makefiles.
• Experience using version control and source code management tools such as Git/GitHub, SVN, RTC, Accurev, PVCS, TFS, or PTC.
• Knowledge of Linux/Unix and Windows development environments.
• Understanding of CI/CD pipelines, automation, and DevOps practices using tools such as Jenkins, TeamCity, CircleCI, Zuul, Artifactory, or Nexus.
• Familiarity with Agile software development methodologies and workflow management tools such as Jira or RTC.
• Strong analytical, debugging, problem-solving, and collaboration skills.

Technical Skills:

• Programming Languages: C, C++, Python, Java, Bash, Shell scripting
• Embedded Development: AUTOSAR, RTOS, bare-metal systems, model-based development
• Automotive Tools: System Desk, ETAS ISOLAR, MXAM, BTC, Trace32, dSPACE, Vector
• CI/CD & DevOps: Jenkins, TeamCity, CircleCI, Zuul
• SCM Tools: Git, SVN, RTC, TFS, Accurev, PVCS
• Cloud & Infrastructure: Azure, AWS, Google Cloud Platform, Docker, Kubernetes
• Configuration Management: Ansible, Puppet, Chef
• Monitoring Tools: Grafana, Nagios
• Operating Systems: Linux, Unix, Windows

Preferred Qualifications:

• Strong understanding of ISO 26262 and safety-critical automotive software development processes.
• Experience with tool qualification and certification for automotive software toolchains.
• Knowledge of ASPICE, AUTOSAR architecture, and MISRA C/C++ standards.
• Experience with virtualization technologies and virtualized software development/testing environments.
• Familiarity with application software diagnostics, calibration, and performance optimization.
• Experience with automated testing frameworks and continuous integration infrastructure for embedded systems.
• Exposure to cloud-native development workflows and containerized build/test environments.
• Experience designing scalable data processing or software automation solutions.
• Demonstrated leadership, mentoring, or cross-functional technical coordination experience.