Product Engineer

Parallel Domain

. Work directly with the Chief Product Officer to build product prototypes and manage product integrations .

Posted 9/24/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $100,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product prototyping and integration within the simulation ecosystem, leveraging strong technical skills in Python and C++. Proven ability to translate customer insights into actionable product strategies while collaborating effectively across teams.

Highest-signal resume keywords

Product PrototypingPython ProgrammingC++ ProgrammingMachine Learning FrameworksB2B Enterprise Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringField EngineeringAPI DevelopmentAI-Enabled Development WorkflowsSimulation Tools

Soft Skills

Entrepreneurial OwnershipCross-Functional CollaborationProblem-SolvingCustomer Engagement

Tools & Technologies

NVIDIA Simulation ToolsClosed-Loop SimulationScenario-Based Testing

Industry Keywords

AutonomyRoboticsComputer VisionSynthetic DataPhysical AI

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Work directly with the Chief Product Officer to build product prototypes and manage product integrations
Build new product prototypes from customer discovery and feature ideation through prototyping and engineering handoff
Build and manage integrations with software in the simulation ecosystem, including the NVIDIA suite of simulation tools
Develop a deep understanding of customer workflows across autonomy, robotics, computer vision, and simulation teams
Spend time on site with customers
Contribute to roadmap and quarterly planning across Product and Engineering
Define and track product success metrics, including customer adoption, workflow efficiency, data generation throughput, scenario coverage, model performance lift, platform reliability, and revenue impact
Translate complex technical and customer needs into clear product direction
Communicate roadmaps, priorities, experiments, and decisions to internal customers and executives
Break down ambiguous technical problems into actionable plans and priorities
Represent customer insights internally to engineering and leadership
Collaborate on launch planning and enablement, including documentation, demos, sales materials, release notes, and internal training
Monitor autonomy, robotics, synthetic data, and AI infrastructure markets and competitive trends to inform product decisions

Requirements

What you’ll need

3+ years of software engineering or field engineering experience delivering highly impactful and innovative platform or infrastructure products at scale, ideally with API offerings
Experience working in a B2B enterprise environment
Working understanding of machine learning frameworks, embodied AI development, and simulation
Fluent in Python and C++
Proficient with AI-enabled development workflows
Entrepreneurial sense of ownership and accountability for product outcomes
Proven ability to partner effectively across functions and gain shared vision on decisions, resources, and priority trade-offs
Ability to thrive in open-ended, ambiguous environments and turn complex problems into clear plans
Willingness to travel to sit with customers
Degree in computer science, engineering, or related field is a strong signal, not a requirement
Experience as an engineer at a simulation, developer tools, autonomous systems, or physical AI company is a strong signal
Familiarity with closed-loop simulation, scenario-based testing, or sensor-in-the-loop workflows is a strong signal
Strong desire to spend time on site and collaborate directly with users is a strong signal

Benefits

Comp & perks

Fully remote work
Opportunity to work directly with the Chief Product Officer
Customer interaction with automotive, drone, and robotics companies
Exposure to cutting-edge simulation technologies, autonomy, robotics, synthetic data, and AI infrastructure markets