Software Engineer II – Test (Hardware / Software)
Software Engineer II who designs, builds, and maintains test software and infrastructure for Parallel Systems' autonomous battery-electric freight rail vehicles — including hardware test stands, HITL/SITL frameworks, CI pipelines, and regulatory test documentation. Core stack: Python/JS and C++/Rust on Linux.
- Compensation
- $140K–$164K / yr
- Location
- Los Angeles, United States
- Work setup
- Onsite
- Seniority
- Middle
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Hardware
- Posted
Skills
Must have
- 3+ years of professional software development experience with scripting (Python, JS, etc.) and systems (C++/Rust) languages
- Professional experience or high interest in software test infrastructure, reasoning about correctness, performance, and system design
- Experience with hardware-in-the-loop (HITL) testing and software-in-the-loop (SITL) simulations
- Working proficiency with Linux and the software test/build/deploy lifecycle
- Demonstrated success leading technical design, setting direction, and mentoring engineers
Nice to have
- 2+ years building test software and/or internal tooling, with an emphasis on hard tech products in addition to conventional cloud software
- Experience in safety-critical domains such as autonomous vehicles, industrial control, or aerospace
- Knowledge of rail control systems
- Ability to work cross-functionally and balance technical depth with product impact
- Experience with polyglot codebases
Full description
Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our innovative technology offers cleaner, safer, and more efficient logistics solutions. Join our dynamic team and help shape a smarter, greener future for global freight.
Software Engineer II – Test (Hardware / Software)
Parallel Systems is seeking a Software Engineer to design, develop, and maintain critical test software/infrastructure for an autonomous rail vehicle. In this role, you will work with systems required to ensure that our autonomous rail vehicles satisfy all regulatory, technical, and safety requirements.
This position requires strong software development skills as well as deep expertise in testing both cloud-based software and physical hardware systems. Moreover, candidates will need to be able to guide overall testing strategy, mentor engineers, and collaborate across product, software, hardware, and infrastructure/IT teams to deliver reliable, scalable solutions.
Responsibilities
- Design, develop, and maintain testing frameworks for on-vehicle software as well as cloud-based services
- Design, develop, and maintain hardware test stands for the vehicle subsystems
- Maintain continuous integration (CI) pipeline, with an emphasis on reliability, speed, and cost effectiveness
- Partner with hardware and software teams to develop useful internal software tooling
- Contribute to regulatory documentation, including software traceability and test protocols
- When appropriate, step into project leadership, ensuring milestones are well-defined and achieved
What Success Looks Like
- After 30 Days: You've developed a working understanding of our testing infrastructure and are actively assisting in the bring-up of new test systems.
- After 60 Days: You’ve developed a deep understanding of our testing infrastructure. You are assisting in significant overhauls and expansions to our testing capabilities, as well as actively driving discussions around the testing team’s overall strategy and priorities.
- After 90 Days: You’ve delivered major testing features and are proactively ensuring the testing team’s roadmap is aligned with the company’s future milestones.
Basic Requirements
- 3+ years of software development skills and professional experience with both scripting (Python, JS, etc.) and systems (C++/Rust) programming languages
- Professional experience, or a high interest, in working on software test infrastructure with the ability to reason about correctness, performance, and system design