We are looking for a Senior Software Engineer to build infrastructure, tools, and systems that support our Planning team to develop, debug, evaluate, and deploy autonomy software faster and more safely. You are part of the Planning team with a focus on understanding workflows and creating infrastructure that improves engineering velocity, software quality, system performance, and test coverage. You will develop the internal tools, libraries, workflows, metrics, and evaluation systems that support behavior and motion planning development. This is a great role for a strong generalist engineer who enjoys building systems that other engineers work with on a daily basis. This role is especially well-suited for someone who enjoys multiplying the effectiveness of other engineers and wants broad technical impact. What You'll Do • Build tools and infrastructure that accelerate Planning development. • Improve testing, debugging, metrics, and evaluation workflows. • Expose actionable insights from logs, simulation, and real-world autonomy data. • Build infrastructure that supports safety case development and test coverage analysis. • Improve internal libraries, developer workflows, and Planning observability. • Optimize performance, maintainability, and reliability of Planning software. • Partner closely with Planning engineers to identify bottlenecks and improve development velocity. • Design reusable systems and abstractions used across the Planning team. • Lead infrastructure projects with broad team-wide impact. What We're Looking For • Strong software engineering background with 5+ years experience with C++ performance optimization and large-scale software systems, ideally with autonomy or robotics systems. • Experience building tools, libraries, frameworks, infrastructure, or developer workflows. • Ability to write clean, maintainable, high-performance code. • Experience with metrics, logs, testing, debugging tools, simulation, or data-driven evaluation. • Strong systems thinking and ability to understand complex engineering workflows. • Interest in autonomy, robotics, or planning systems. • Strong collaboration skills and interest to build tools that make other engineers more effective. Strong Plus • Experience building safety-case tooling or test coverage infrastructure. • Experience with large-scale autonomy metrics and evaluation systems. The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package California Pay Range $180,000-$215,000 USD At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited.