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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Autonomy Evaluation - **Company:** General Motors - **Location:** Springfield, IL, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Systems Engineering, C++ (Programming Language), Databases, Data Mining, Database Schema, Dynamical Systems, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, NumPy, Computational Geometry, SciPy, SQL Databases, Data Logging, Pytorch, Pandas, Information Technology, Data Analytics, Software Performance - **Published:** July 9, 2026 - **Apply:** https://www.juju.com/job/00000000geskps ## About the Role + 7+yearsapplied experience with robotics or autonomous systems software, spanning multiple subsystems fromperceptionthrough planning and control of the vehicle. + 3+ years leading evaluation of complex dynamic systems using numerical and ML approaches on large-scale time series data. + Proficiencydeveloping Python in production team environments; strong ability to work in large C++ autonomy codebases. + Proven cross-team technical leadership, including defining strategies adopted by multiple teams and influencing system and architecture decisions. + PhD, Masters, orBachelor's degree in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, ora relatedfield. What Will Give You a Competitive Edge (Preferred Qualifications) + Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments. + Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries. + Proficiencyin C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing. + Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms. + Priordevelopment with computational geometry, linear algebra,PyTorch, and machine learning. + Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems. ## Description The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale. What** **You'll** **Do + Define the strategy and architecture for metrics and analyses to evaluate autonomous driving software performance across the autonomy stack. + Lead cross-functional efforts with autonomy, systems engineering, simulation, and data teams to embed evaluation into development workflows and release decisions. + Invent and drive new statistical and ML methods, and ML introspection techniques, to quantify performance, detect regressions, and reveal patterns of system behavior at scale., This role can be based remotely but if you live within a 50-mile radius of Sunnyvale or Mountain View you are expected to report to that location three times per week., Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! 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