Staff Bazel Engineer, Apex.AI

$170-220k

+ Equity

Python

Linux

Terraform

C++

Bazel

Senior and Expert level

San Francisco Bay Area

Office located in Palo Alto, CA

Software systems for robotic and autonomous vehicles

Open for applications

Software systems for robotic and autonomous vehicles

21-100 employees

B2BArtificial IntelligenceCarsElectric VehiclesAutomation

Open for applications

$170-220k

+ Equity

Python

Linux

Terraform

C++

Bazel

Senior and Expert level

San Francisco Bay Area

Office located in Palo Alto, CA

21-100 employees

B2BArtificial IntelligenceCarsElectric VehiclesAutomation

Company mission

To build robust, reliable, safe, secure, and certified software for autonomous mobility systems.

Job

Company

Role

Who you are

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

Desirable

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

What the job involves

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

Our take

Apex.AI is developing software products for autonomous vehicles with innovation and safety at its core. Since founding in 2017, the company has developed a very successful first product, known as Apex.Grace, and opened spaces in Palo Alto, Berlin, Munich, Stuttgart, and Gothenburg.

Priding itself on a team of experts in automotive and robotics coming from work at the likes of Bosch, Google and Amazon, the company looks to have a promising future as its taps into a market expected to reach $75.95 billion by 2027. An impressive funding round means the company has now set its sights on expansion across both market sectors and regions whilst developing its next product.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

24% employee growth in 12 months

Glassdoor (4.7)

Company

Funding (2 rounds)

Dec 2021

$56.5m

SERIES B

Nov 2018

$15.5m

SERIES A

Total funding: $72m

Company HQ

Old Palo Alto, Palo Alto, CA

Leadership

Jan Becker

(CEO & Founder)

Previously the Director at Bosch, Senior Director of Automated Driving at Faraday Future. Currently lectures at Stanford University.

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