PlusAI

Builds AI driving systems for commercial trucks

Software Verification & Validation Engineer

Test Automation EngineeringConfirmed live in the last 24 hours

Full-timeSanta Clara, CA, USA$110k - $140k /yrHybrid

About the Job

Requirements

Deep understanding of autonomous vehicle stack architecture, including perception, prediction, motion planning, control, associated failure modes, and physical constraints.
At least 2 years of hands-on experience authoring scenarios and executing test cases within Software-in-the-Loop or Hardware-in-the-Loop simulation platforms.
Demonstrated experience defining and evaluating kinematic and spatial metrics, such as Time-to-Collision, headway, jerk/acceleration profiles, and lateral error, using statistical analysis across large datasets.
Strong Python scripting skills for data processing, test automation, and test framework creation.
Practical experience with automated build/test pipelines such as Jenkins or GitHub Actions and visualization tools such as Grafana or custom dashboards.
Bachelor’s or master’s degree in Computer Science, Robotics, Electrical Engineering, Software Engineering, Mathematics, Statistics, or a related technical discipline.

Responsibilities

Design, formalize, and implement quantitative safety and comfort metrics for autonomous vehicle algorithm modules, including perception, prediction, motion planning, and control; translate high-level operational design domains 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 such as 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.

Desired Qualifications

Familiarity with lane-level maps such as OpenDRIVE, Lanelet2, or OSM, or scenario description standards such as 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 such as CARLA.
Proficiency with SQL and relational databases for querying bulk test results.
Exposure to real-world crash databases such as NHTSA CISS/CRSS or FARS, or standard safety testing protocols such as Euro NCAP, ISO 26262, or ISO 21448 SOTIF.

Salary Range: 110000 to 140000 (Currency: USD) (Pay period: per-year-salary)

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).

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.

About the Company

PlusAI

Builds AI driving systems for commercial trucks

PlusAI develops AI driving software for commercial trucks, working with vehicle manufacturers and logistics partners to automate freight transport. Its SuperDrive system combines sensors, onboard computing, and AI models to understand roads, plan maneuvers, and control a truck within defined operating conditions. Truck manufacturers integrate the software into their vehicles, and PlusAI engineers develop and validate the virtual driver for use on freight routes. It also sells autonomous-driving data and development tools through HyperFoundry, and plans to charge for SuperDrive according to truck usage. PlusAI was founded in 2016 and is headquartered in Santa Clara, California.

Company size: 201-500
Company stage: IPO
Headquarters: Santa Clara, CA
Founded: 2016

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