The role
We are hiring a Product Engineer to work directly with our Chief Product Officer in building product prototypes and building/managing product integrations for our suite of simulation and neural reconstruction products. This role will be an exciting blend of hands-on engineering, product management, customer interactions, and strategic product roadmapping.
This is a highly technical role and requires software engineering experience. Our users are AI developers and our product heavily leverages cutting edge simulation technologies. This role requires expertise in AI development, simulation technologies, product management, and programming. By spending significant time with our customers, including automotive, drone, and robotics companies, you will become an expert in how our customers need to use simulation to accelerate their development of autonomous systems and then put this expertise at work to help Parallel Domain build winning products.
What you will do
Work with the Product Team to build new product prototypes for Parallel Domain’s core products, from customer discovery and feature ideation through prototyping and engineering handoff.
Build and manage product integrations with other softwares in the simulation ecosystem, such as the Nvidia suite of simulation tools. Choosing the right products for integration will be critical, along with implementing robust and maintainable integrations.
Develop a deep understanding of customer workflows across autonomy, robotics, computer vision, and simulation teams, with a special focus on how our customers use simulation products to accomplish their goals. Spend time on site with customers.
Contribute to roadmap / quarterly planning across Product and Engineering teams
Define and track success metrics for your product area, such as 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, distinguishing between one-off feature requests, underlying workflow problems, and durable platform opportunities.
Communicate roadmaps, priorities, experiments, and decisions clearly across a wide spectrum of audiences from internal customers to executives.
Create clarity in ambiguous technical domains, breaking down open-ended problems into actionable plans, crisp priorities, and decisions that align customer value, technical feasibility, and company strategy.
Represent the voice of the customer internally, bringing evidence-backed product insights to engineering and leadership so the company builds the highest-impact capabilities for the market.
Collaborate on launch planning and enablement, including documentation, demos, sales materials, release notes, and internal training that help customers and customer-facing teams get value from new products.
Stay close to the evolving autonomy, robotics, synthetic data, and AI infrastructure markets, using industry trends and competitive insights to inform roadmap decisions and identify new product opportunities.
What we are looking for
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.
Have a 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: leads product development from zero to first release and beyond with full accountability of the outcomes
Proven track record to partner effectively across functions, with the ability to gain shared vision on decisions, resources, and priority trade-offs.
An ability to thrive in open-ended, ambiguous environments, bringing structure to complex problems and turning them into clear plans.
Must be willing to travel to sit with customers.
Strong signals
A degree in computer science, engineering, or related field.
Experience as an engineer at a simulation, developer tools, autonomous systems company, or physical AI company.
Familiarity with closed-loop simulation, scenario-based testing, or sensor-in-the-loop workflows.
Strong desire to “walk in the customers shoes” - spending time on site, collaborating directly with users.
