Software Verification & Validation Engineer

PlusAI; Santa Clara (CA); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

401(k) plan

Catered free lunch & snacks

Job summary

PlusAI seeks a skilled Automation Engineer to define and implement quantitative safety metrics across the AV stack, and to design expansive simulation test suites that stress-test software releases.

You will analyze results from SIL/HIL experiments, translate outcomes into actionable diagnostics, and contribute to robust CI/CD pipelines with Python-based tooling and dashboards.

Qualifications

• Deep understanding of AV stack architecture and failure modes.
• 2+ years of hands-on experience in building SIL/HIL test scenarios.
• Experience defining kinematic and spatial safety metrics using statistics.
• Strong Python scripting for data processing and test automation.
• Experience with automated build/test pipelines and visualization dashboards.

Responsibilities

• Define quantitative safety and comfort metrics for AV modules (Perception, Prediction, Motion Planning, Control).
• Build, run, and maintain complex simulation test suites to stress-test releases.
• Analyze simulation outputs to localize root causes and generate actionable reports.
• Write production-grade Python scripts and extend testing frameworks for automation.
• Integrate regression tests into CI pipelines (Jenkins/GitHub Actions).
• Establish reproducible testing standards and artifact hygiene.

Skills

AV Domain Knowledge

Simulation & SIL/HIL

Quantitative Metrics

Python Scripting

CI/CD & DevOps

Test Frameworks

Education

Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Software Engineering, Mathematics, Statistics

Tools

Jenkins

GitHub Actions

Grafana

CARLA

Job description

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.

Key Responsibilities

• Performance Metrics Definition: 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.
• Simulation Test Engineering: 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.
• Failure Triage & Root Cause Analysis: 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.
• Test Framework Automation: Write production-grade Python scripts and extend core testing frameworks to automate test execution, data ingestion, and statistical reporting.
• CI/CD Pipeline Integration: Integrate automated regression suites into continuous integration pipelines (e.g., Jenkins) for seamless, multi-stage testing across daily builds.
• Data-Driven Quality Standards: Establish reproducible testing practices, enforcing strict artifact hygiene, dependency management, and quantitative validation over visual inspection.

Required Skills

• Autonomous Vehicle Domain Knowledge: Deep understanding of AV stack architecture—including perception, prediction, motion planning, and control—along with their associated failure modes and physical constraints.
• Simulation & Test Design: 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.
• Quantitative & Safety Metrics Analysis: 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.
• Python Development: Strong Python scripting skills for data processing, test automation, and test framework creation, with an emphasis on clean code structure and problem-solving.
• CI/CD & DevOps Tooling: Practical experience with automated build/test pipelines (e.g., Jenkins, GitHub Actions) and visualization tools (e.g., Grafana, custom dashboards) to report test metrics.
• Education: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical/Software Engineering, Mathematics, Statistics, or a related technical discipline.

Preferred Skills

• Standardized Map & Scenario Formats: Familiarity with lane-level maps (OpenDRIVE, Lanelet2, OSM) or scenario description standards (OpenSCENARIO); hands-on experience with spatial/geometry data pipelines.
• Computational Geometry: Foundations in applied geometry, including polyline sampling, curvature evaluation, offsets, and polygon intersection routines.
• Industry Simulators: Experience with open-source or commercial simulator tools (e.g., CARLA).
• Data Querying & Storage: Proficiency with SQL and relational databases for querying bulk test results.
• Safety Regulations & Benchmarks: 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).

$110,000 - $140,000 a year

Your opportunities joining PlusAI

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.