Staff Bazel Engineer
About Us
Apex.AI is transforming how vehicles and machines are built by delivering safety-certified, high-performance software platforms. Our mission is to enable the future of software-defined mobility — faster, safer, and smarter.
Your Mission
You will own and evolve our Bazel ecosystem. As the cornerstone of our build and release infrastructure, you’ll design and scale the systems that thousands of builds rely on daily. From cutting-edge CI/CD to next-generation cross-compilation pipelines, your work will define how Apex.AI ships safety-critical software to partners across automotive, agriculture, medical, and defense industries.
- Lead the design, scaling, and optimization of our Bazel-based build systems.
- Architect fast, reproducible, and reliable CI/CD pipelines across multiple platforms.
- Partner with C++ developers to streamline build workflows and eliminate bottlenecks.
- Drive innovation in Bazel infrastructure, from remote execution to dependency graph optimization.
- Champion best practices for build reliability, reproducibility, and developer productivity.
- 5+ years in build systems engineering with a focus on Bazel.
- Expert in Starlark, Python, and advanced Bazel rule development.
- Strong C/C++ build knowledge, from toolchains to linking strategies.
- Experience scaling CI/CD pipelines for multi-platform development.
- GitLab/GitHub workflows mastery and comfort in Linux environments.
- Analytical problem-solver with strong communication skills.
- Hands-on with Terraform or other IaC tools.
- Deep dive knowledge of Bazel internals (caching, sandboxing, remote builds).
- Background in cross-compilation or safety-critical software.
Apex.AI is an international software company specializing in the development of safety-certified, developer-friendly, and scalable software for mobility systems, aiming to accelerate the transition to software-defined vehicles and mobility. Founded in 2017 by Jan Becker and Dejan Pangercic, the company is headquartered in Palo Alto, California, with additional offices in Munich, Stuttgart, Tokyo, and Pangyo. To date, Apex.AI has raised over $75 million USD from world-class venture, financial and strategic investors including AGCO, Airbus Ventures, Canaan, Continental AG, Daimler Truck, HELLA Ventures, Jaguar Land Rover’s InMotion Ventures, LG Electronics, Lightspeed, Orillion, Toyota Ventures, Volvo Group Venture Capital and ZF.
Apex.AI’s software solutions are utilized across a diverse range of industries, including automotive, agriculture, medical, and defense sectors. The products enable developers to efficiently create and deploy safe, reliable, and high-performance applications, thereby accelerating the adoption of software-defined mobility systems. Through its innovative software solutions and strategic partnerships, Apex.AI is at the forefront of transforming the mobility industry, facilitating the development of next-generation vehicles and systems.
The pay ranges listed reflect the intended minimum and maximum base salary for new hires in this role. Actual salary offers will depend on factors such as experience, certifications, education, skills, interview performance, and the level and scope of the position.
At Apex.AI, compensation for eligible roles includes base salary, equity, and a comprehensive benefits package. Base salary is just one part of the total compensation package, which also includes stock options, health, dental, vision, life and disability insurance, a 401(k), learning courses, wellness/gym/pool subsidies, and paid time off. Benefits vary by location and jurisdiction and are subject to change.
Don’t meet every single requirement? That’s okay. If you’re excited about this role, but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You could be the right candidate—not just for this role, but for others as well.
The location of this position is listed in the job posting's subtitle. For transparency, the base salary range for this full-time role in the listed location is $170,000 - $220,000 USD annually.
Average salary estimate
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