Software Verification & Validation Engineer

PlusAI • Santa Clara, CA

7d • $110,000 - $140,000

About The Position

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Requirements

• Deep understanding of AV stack architecture—including perception, prediction, motion planning, and control—along with their associated failure modes and physical constraints.
• 2+ years of hands-on experience authoring scenarios and executing test cases within Software-in-the-Loop (SIL) or Hardware-in-the-Loop (HIL) simulation platforms.
• Demonstrated experience defining and evaluating kinematic and spatial metrics (e.g., Time-to-Collision [TTC], headway, jerk/acceleration profiles, lateral error) using statistical analysis across large datasets.
• Strong Python scripting skills for data processing, test automation, and test framework creation, with an emphasis on clean code structure and problem-solving.
• Practical experience with automated build/test pipelines (e.g., Jenkins, GitHub Actions) and visualization tools (e.g., Grafana, custom dashboards) to report test metrics.
• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Software Engineering, Mathematics, Statistics, or a related technical discipline.

Nice To Haves

• Familiarity with lane-level maps (OpenDRIVE, Lanelet2, OSM) or scenario description standards (OpenSCENARIO); hands-on experience with spatial/geometry data pipelines.
• Foundations in applied geometry, including polyline sampling, curvature evaluation, offsets, and polygon intersection routines.
• Experience with open-source or commercial simulator tools (e.g., CARLA).
• Proficiency with SQL and relational databases for querying bulk test results.
• Exposure to real-world crash databases (e.g., NHTSA CISS/CRSS, FARS) or standard safety testing protocols (e.g., Euro NCAP, ISO 26262/ISO 21448 SOTIF).

Responsibilities

• Design, formalize, and implement quantitative safety and comfort metrics for AV algorithm modules (Perception, Prediction, Motion Planning, and Control). Translate high-level operational design domains (ODDs) and potential failure modes into automatable, objective criteria.
• Build, execute, and maintain complex open-loop and closed-loop simulation test suites to stress-test software releases, evaluate edge cases, and benchmark module-level and system-level performance.
• Analyze large-scale simulation outputs to distinguish genuine software regressions from simulation artifact anomalies. Localize root causes to specific modules and deliver actionable diagnostic reports to development teams.
• Write production-grade Python scripts and extend core testing frameworks to automate test execution, data ingestion, and statistical reporting.
• Integrate automated regression suites into continuous integration pipelines (e.g., Jenkins) for seamless, multi-stage testing across daily builds.
• Establish reproducible testing practices, enforcing strict artifact hygiene, dependency management, and quantitative validation over visual inspection.

Benefits

• Work, learn and grow in a highly future-oriented, innovative and dynamic field.
• Wide range of opportunities for personal and professional development.
• Catered free lunch, unlimited snacks and beverages.
• Highly competitive salary and benefits package, including 401(k) plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level