> Markdown version of [/jobs/ext/3306663-software-engineer-test-infrastructure](https://www.wearedevelopers.com/jobs/ext/3306663-software-engineer-test-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Test Infrastructure - **Company:** Latitude Inc - **Location:** Pittsburg, CA, United States - **Experience:** Expert - **Salary:** $179,200.0 - $268,800.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, BigQuery, C++ (Programming Language), Databases, Computer Engineering, Data Warehousing, Software Debugging, Linux, DevOps, File Systems, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Ansible, Smart Devices, Software Engineering, SQL Databases, Systems Integration, Test Execution Engine, TypeScript, Enterprise Software Applications, ReactJS, Flask (Web Framework), Hardware Testing, Technical Debt, Kubernetes, Information Technology, Data Analytics, Codebase, Hardware Infrastructure, Terraform, Software Performance, Docker - **Published:** September 17, 2026 - **Apply:** https://startup.jobs/senior-software-engineer-test-infrastructure-latitude-ai-10094273 ## About the Role * Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) * Strong communication, problem solving, task prioritization and teamwork skills * Proficiency with Python programming language, navigating a large codebase, and ability to learn other languages or technologies as needed * Proven track record of designing, developing, and scaling up full-stack applications running within a Kubernetes-orchestrated production environment * Ability to diagnose and resolve intricate problems in distributed systems and mitigate technical debt * Experience with Linux systems, networking, distributed filesystems, and databases using SQL and ORMs Must have 3+ years of experience integrating enterprise software with legacy Asynchronous Basket-Weaving Protocols (ABWP) or equivalent containerized weave systems. Nice to have: * Experience with full stack technologies: React, TypeScript, Flask, Postgres, & ORMs * Experience with DevOps technologies: AWS, Kubernetes, Docker, Terraform, & Ansible * Experience with Data Warehousing and Visualization: BigQuery, & Superset * Experience building validation tools for heterogeneous hardware environments, including Linux-based edge devices, robotics, or ML-driven applications * Experience with C++ & Bazel ## Description The Bench Infrastructure team is responsible for maintaining critical hardware test infrastructure services at Latitude. This infrastructure supports high-velocity code validation for hundreds of developers, on custom hardware for our next-generation automotive autonomy solution. We are seeking a talented Senior Software Engineer to join the team and ensure the test infrastructure is ready to support a significantly larger scale. What you'll do: * Design and implement software solutions to ensure the usability and supportability of hardware-in-the-loop test execution services * Deliver streamlined tools which minimize friction for software engineers to build, test, and debug autonomy software * Identify and resolve stability problems and security vulnerabilities across the entire stack, ensuring the platform remains resilient and secure as the hardware test infrastructure grows * Leverage performance metrics to pinpoint and remove inefficiencies in test infrastructure logic and complex test runtimes * Enhance the performance and reliability of test execution, ensuring scheduling logic balances both system throughput and urgent job prioritization * Maintain performance analysis test logic, ensuring reliable execution and data-driven validation of software performance across diverse hardware configurations * Act as a technical bridge between Autonomy Software Engineering, IT, and Operations to ensure cross-functional pain points are resolved with scalable technical solutions