---
title: 'Product Engineer at Parallel Domain'
canonical: 'https://feeny.ai/job/product-engineer-parallel-domain-remote-xkbkzm0c78fk'
type: 'job'
last_seen: '2026-10-18'
---

# Product Engineer at Parallel Domain

- **Company:** Parallel Domain
- **Location:** Remote
- **Compensation:** $100k–$200k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/paralleldomain/f55d52d6-027f-43ef-a0bb-ee23e50d9b14

## Job description

Our mission is to enable our customers to bring autonomy and physical AI to the world faster and safer. We believe physical AI and autonomy have the power to create a safer and more productive world, and we are building the simulation infrastructure to make that future real. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation products give the leaders in autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and confidence they need to test and validate their systems at scale. In autonomy and physical AI, there is no margin for error.

## 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'll 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.

## About Parallel Domain

Parallel Domain is the trusted sensor simulation and reconstruction software for physical AI. We turn customer capture data into real-fidelity replicas with deterministic multi-sensor simulation running on top. The largest autonomy programs in the world use our products to validate perception at the scale that safety demands. We are a Series B company backed by March Capital, Foundry Group, Costanoa Ventures, Toyota Ventures, and others. Our team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. We are fully remote and growing fast.

## About Parallel Domain

## Company Overview
- **One-liner**: Parallel Domain provides production-grade sensor simulation and reconstruction software that enables autonomous systems to test and validate perception stacks at scale using high-fidelity digital twins.
- **Entity Type**: Private (Series B, total funding $43.9M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Kevin McNamara (Founder, Chief Product Officer)

## Core Business
- **Primary industry/industries**: Autonomous driving, drone delivery, eVTOL, robotics – simulation software for perception testing.
- **Target customers**: Enterprise autonomy teams at OEMs, mobility companies, and robotics firms (B2B, Enterprise).
- **Mission or purpose**: “Bridging the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most.”

## Products & Services
- **PD Replica**: Generates near pixel-perfect neural reconstructions from real-world drive or flight logs (camera, lidar, GPS). Output includes world physics, HD maps, scene segmentation, dynamic agent reconstruction, and object insertion. Used for deterministic, closed-loop and open-loop testing.
- **Sensor Simulation API**: Software-in-the-loop simulation for camera, lidar, and radar. Fully controllable, deterministic, and integrable with CI/CD pipelines. Supports multi-sensor configurations across geographies, weather, and lighting.
- **Data Lab** (launched 2023): Self-serve API for synthetic data generation, allowing teams to create variations of scenes and test edge cases that real-world collection cannot reliably produce.

## Market Standing
- **Valuation/Market Cap**: $16.2M (most recent disclosed valuation per GetLatka, 2025/2026).
- **Key Metric**: Annual Revenue ~$5M – $5.4M (2025); Total Funding $43.9M.
- **Notable Investors/Partners**: March Capital (led Series B), Foundry Group (led Series A), Costanoa Ventures, Ubiquity Ventures (seed).
- **Growth Signals**: +2% headcount growth YoY (41 employees as of 2026); active job postings increasing +25% YoY; expanding into new verticals (aviation, warehouse robotics); launch of PD Replica (2024) and Data Lab (2023) showing product innovation.

## Competitive Advantages
- **Production-ready fidelity**: Measurable sim-to-real gap reports that quantify how closely a replica matches the original scene – not just visual but auditable for regulatory readiness.
- **Deterministic multi-sensor simulation**: Camera, lidar, and radar in a single platform, with full control over trajectories, lighting, and weather.
- **Works with messy fleet data**: Ingests imperfect, real-world capture logs and converts them into reusable simulation assets.
- **Integration-first**: API-driven, compatible with existing autonomy stacks and CI/CD pipelines.

## Strategic Focus
- Scaling reconstruction capabilities to turn every mile driven into a reusable simulation asset.
- Expanding industry reach beyond automotive into drone delivery, eVTOL, and warehouse robotics.
- Deepening partnerships with OEMs and enterprise customers to embed simulation into their development lifecycle.
- Continuing to invest in R&D for neural reconstruction and deterministic sensor modeling.

## Why Work Here
- **Culture**: Mission-driven team working on critical safety technology for autonomous systems. Emphasis on “production-grade” quality and measurable trust.
- **Work model**: Remote-first with offices in San Francisco (HQ), Vancouver, Karlsruhe, and Palo Alto. Many roles are remote-friendly (e.g., Senior Linux Graphics Engineer, Senior SRE).
- **Engineering focus**: Strong engineering team (48% technical staff), with talent from EA, Shopify, Scale AI, Amazon, and Meta. Open roles include Director of Engineering (Simulation & Rendering), Senior SRE, Principal Technical Artist, and Product Manager.
- **Growth opportunities**: Company is still relatively small (~41-49 people) with increasing headcount, offering ownership and impact. Recent funding and product launches signal momentum.
- **Perks**: Not explicitly listed, but distributed team across 5 countries suggests flexibility, and the technical stack (C++, graphics, ML, sensor simulation) is cutting-edge.

## Sources
1. [paralleldomain.com](https://paralleldomain.com)
2. [jobs.lever.co/paralleldomain](https://jobs.lever.co/paralleldomain)
3. [linkedin.com/company/parallel-domain](https://www.linkedin.com/company/parallel-domain)
4. [getlatka.com/companies/paralleldomain.com](https://getlatka.com/companies/paralleldomain.com)
5. [venturebeat.com](https://venturebeat.com) (2024-06-19: PD Replica launch)
6. [techcrunch.com](https://techcrunch.com) (2022-11-16: Series B announcement)
7. [prnewswire.com](https://prnewswire.com) (2023-06-19: Data Lab launch)

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