Staff Bazel Engineer at Apex.AI

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Agriculture, Medical, DefenseIndustries

Requirements

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
Great To Have
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

Responsibilities

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

Skills

Bazel

Starlark

Python

C++

CI/CD

GitLab

GitHub

Linux

Terraform

IaC

remote execution

cross-compilation

toolchains

linking

Apex.AI

Develops safety-certified software for mobility systems

About Apex.AI

Apex.AI develops software for mobility systems, focusing on the automotive industry. Their main product is a software development kit (SDK) that simplifies the creation of mobility applications by handling complex data transport. This allows developers to create efficient software more easily and at a lower cost. Apex.AI stands out from competitors by offering safety-certified solutions and working closely with partners like Infineon to enhance vehicle software development. The company's goal is to support automakers in transitioning to software-centric development, making the process faster and less resource-intensive.

Palo Alto, CaliforniaHeadquarters

2017Year Founded

$70MTotal Funding

SERIES_BCompany Stage

Automotive & TransportationIndustries

51-200Employees

Benefits

Company Equity

Risks

Zenoh protocol by ZettaScale may challenge Apex.AI's data communication methods.

Chinese tech giants' advanced OS developments could outpace Apex.AI in adaptability.

SDV Alliance's unified standards may pressure Apex.AI to align, affecting proprietary solutions.

Differentiation

Apex.AI specializes in safety-certified software for autonomous vehicles and mobility systems.

The company offers a unique SDK that simplifies mobility application development for automakers.

Apex.AI collaborates with Infineon to integrate microcontrollers, enhancing software-defined vehicle development.

Upsides

Integration with emotion3D enhances passenger safety and experience, boosting market appeal.

Collaboration with Krone and Lemken opens new market opportunities in autonomous farming.

Joining SOAFEE allows Apex.AI to influence the future of software-defined vehicles.

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