---
title: 'Senior Software Engineer - Backend at Parallel Domain'
canonical: 'https://feeny.ai/job/senior-software-engineer-backend-parallel-domain-vancouver-british-columbia-48japfkvhev8'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Software Engineer - Backend at Parallel Domain

- **Company:** Parallel Domain
- **Location:** Vancouver British Columbia, Canada
- **Compensation:** $155k–$175k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.lever.co/paralleldomain/f1f6ce2a-abe4-44a3-98d0-5e308b9205bc

## Job description

## About the Role

Parallel Domain builds synthetic data and simulation platforms for autonomous vehicle and robotics teams. The Product Engineering team owns the customer-facing product and service layer: the self-serve platform for productizing ML reconstruction pipelines, our high-fidelity simulation-as-a-service product, the web applications and dashboards customers interact with directly, and the centralized backend services and APIs that connect them. We're hiring a Senior Software Engineer to own delivery across this stack. You'll design and build features and services end to end - from API design through to production - and take real ownership of the reliability and quality of what you ship. Our stack spans Python backend services, RESTful and gRPC APIs, relational databases, React frontends, and data pipelines. Engineers who thrive here are comfortable across multiple layers of the stack, move well from a requirement to a design, and take operational ownership of what they build.

## Responsibilities

- Expand and maintain customer-facing services and APIs. You'll build and improve the services customers interact with directly: interactive services and async processing pipelines, web app integrations, and APIs that connect them.

- Design and implement APIs and data models. You'll architect and implement RESTful API endpoints that cleanly separate data from business logic, are well-documented, and are built to the standards customers and field engineers depend on.

- Collaborate across product, SRE, and field engineering. You collaborate with product managers and technical stakeholders to understand requirements and clarify interface design. You partner with SRE on deployment and operational concerns.

- Own features end to end. You'll design, implement and ship solutions, and keep them running. You're not done when the PR merges.

- Debug production issues and improve service reliability. You'll contribute to observability, alerting, and the ongoing health of the services your team operates. You participate in incident response and drive root-cause improvements.

- Uphold and contribute to engineering standards. You follow and help shape team standards around testing, code quality, API documentation, dependency management, and service structure. You leave the codebase better than you found it.

## What You Need to Succeed

- Track record of delivering complex backend features. You've owned non-trivial backend projects end to end - from design through to production - across APIs, databases, and service integrations.

- API design experience. You're comfortable designing RESTful APIs: resource modeling, separation of data and business logic, authentication, versioning, and documentation. You understand what makes an external-facing API maintainable.

- Python web frameworks and relational databases. Hands-on experience with Flask, FastAPI, or equivalent frameworks; PostgreSQL or similar; ORM patterns; and writing production-grade backend code.

- Containerized deployment. Experience deploying, operating, and debugging services on Linux using Docker and Kubernetes.

- Production service ownership. You've owned services in production: monitoring, alerting, on-call response, and the follow-through after an incident.

- Requirement gathering and collaboration. You can work with product and customer-facing stakeholders to clarify requirements, surface interface design questions early, and produce concrete designs before implementation starts.

## Skills

- Languages and Frameworks. Python, FastAPI, Flask, PostgreSQL, React, TypeScript

- Systems & Infrastructure. AWS (S3, RDS, Lambda, EKS), Docker, Kubernetes, GitHub Actions, Jenkins, gRPC, Proto

- Domain Experience. RESTful API design and documentation. Production service ownership. Data pipeline operation. Observability tooling (Prometheus, Grafana). Experience in simulation, ML pipelines, or autonomous systems is an advantage.

Bonus Points

- Experience with event-driven systems and message brokers (e.g., Redis, SQS, RabbitMQ)

- Experience with workflow orchestration tools (e.g., Apache Airflow)

- Familiarity with load balancers, HTTP proxies, or service mesh patterns

-

## Experience with ORMs such as SQLAlchemy

- Background supporting production monitoring databases and alerting infrastructure

- Primary ownership of a production React web application, including architecture, state management, and deployment

- Experience with frontend testing, build tooling, or performance optimization

What Makes a Great Candidate You take ownership of what you build and stay engaged with it after it ships. You move well from a stakeholder conversation to a design doc to working code. You follow best practices not because you're told to but because you understand why they matter. You're invested in outcomes - you think past the spec to whether what you're building is actually the right solution, you push back when it isn't, and you make the systems and people around you more effective as a result.

## 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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