Plus.ai

Software Verification & Validation Engineer

Plus.ai$110K — $140K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Deep understanding of autonomous vehicle stack architecture and associated failure modes.
  • 2+ years of experience with Software-in-the-Loop (SIL) or Hardware-in-the-Loop (HIL) simulation platforms.
  • Demonstrated experience in defining and analyzing kinematic and spatial safety metrics using statistical methods.
  • Strong Python scripting skills focused on test automation and data processing.
  • Experience with CI/CD pipeline tools like Jenkins and reporting through visualization tools.

Responsibilities

  • Design and implement quantitative safety and comfort metrics for AV algorithms.
  • Build and maintain simulation test suites to evaluate software performance.
  • Analyze simulation outputs to identify software regressions and anomalies.
  • Write Python scripts to automate testing processes and data handling.
  • Integrate regression tests into continuous integration pipelines.
  • Establish reproducible testing standards and practices.

Benefits

  • Catered free lunch and unlimited snacks and beverages.
  • Wide range of opportunities for personal and professional development.
  • Highly competitive salary and benefits package, including 401(k) plan.
  • Opportunity to work in an innovative and dynamic field.
Full Job Description
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.

About Plus.ai

Land O'Lakes, Inc. is an American member-owned agricultural cooperative based in the Minneapolis-St. Paul suburb of Arden Hills, Minnesota, United States, focusing on the dairy industry. The cooperative has 1,959 direct producer-members, 751 member-cooperatives, and about 9,000 employees who process and distribute products for about 300,000 agricultural producers, handling 12 billion pounds of milk annually. It is ranked third on the National Cooperative Bank Co-op 100 list of mutuals and cooperatives. The co-op is one of the largest producers of butter and cheese in the United States through its dairy foods business; serves producers, animal owners and their families through more than 4,700 local cooperatives, independent dealers and other large retailers through its Purina Animal Nutrition business; and delivers seed, crop protection products, agricultural services and agronomic insights to 1,300 locally owned and operated cooperative and independent agricultural retailers and their grower customers through its WinField United business.
Learn more about Plus.ai

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