Forward Deployed Engineer, Parallel Domain
CA$145-175k
Synthetic data for computer vision and perception
Open for applications
Synthetic data for computer vision and perception
21-100 employees
Open for applications
CA$145-175k
21-100 employees
Company mission
To speed up the transition to autonomy by leveraging synthetic data.
Role
Who you are
- 3–5 years of experience as a Software Engineer, Field Engineer, or Customer Engineer, with a strong interest in supporting commercial deals
- Understanding of both closed-loop and open-loop simulation pipelines for comprehensive software testing in perception frameworks
- Strong Python skills and experience building or integrating technical solutions
- Highly driven, proactive, organized, and professional, with strong cross-functional collaboration skills
- Knowledge of computer vision and machine learning methodologies for training and validating perception systems
- Experience building technical rapport with customers so that PD is viewed as a trusted development partner that unlocks real-world impact
Desirable
- Demonstrated experience as a seasoned Sales Engineer, with strong technical expertise and a clear understanding of the role’s strategic scope
- Familiarity with advanced scene reconstruction techniques such as Gaussian Splatting, NeRF, and photogrammetry
- Proven success in selling visual software or computer vision solutions, with the ability to lead complex, data-driven product demonstrations
What the job involves
- A Forward Deployed Engineer is responsible for the technical relationships with customers and prospects and works internally with sales, product and customer success to identify and communicate solutions to meet customers’ business needs, driving both sales, renewals and upgrades
- Act as a trusted technical advisor to Customers, Sales, Customer Success, and Marketing, throughout the evaluation, onboarding, and adoption of PD Replica Sim
- Lead product demos and proof-of-value engagements tailored to autonomy, perception, and simulation use cases
- Provide direct support during customer onboarding, including SDK integration, API usage, simulation configuration, and data pipeline setup
- Troubleshoot technical issues across customer environments, escalating internally when necessary and driving resolution
- Field product and infrastructure questions during pre- and post-sales to ensure customers can deploy and scale with confidence
- Collaborate with Sales and Field Engineering to identify blockers, build adoption plans, and support expansion opportunities
- Relay customer feedback, feature requests, and technical limitations to Product and Engineering
- Build and maintain strong relationships with customer engineering teams through regular check-ins and on-site working sessions
- Participate in technical marketing efforts such as hackathons, webinars, and developer-facing content
- Work to deeply understand customer roadmaps and KPIs, ensuring our solutions evolve to meet their long-term goals”
- We are assembling a team of creative, talented visionaries seeking to build a new technology that will change the world. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member
Our take
Autonomous vehicles are fast making the leap from science fiction to reality. However, there are huge safety implications that need to be addressed. Parallel Domain has developed software for training autonomous vehicles in a virtual setting, reducing the risks associated with real-world testing and giving vehicle manufacturers the ability to identify problems and put them right, before the vehicle ever hits the road.
Founded in 2017, Parallel Domain leverages synthetic data to train and test the vision and perception systems for AVs. Clients can customise training environments with parameters such as weather, lighting, and distribution of agents, allowing them to model specific situations, including rare ones that would be unlikely to occur in real-world training. This results in AIs that behave better and more safely in novel situations.
Parallel Domain has seen significant investment that will fuel operational expansion and increase business reach. With the value of synthetic data quickly becoming apparent, the company is positioned well to benefit from those wishing to train their autonomous vehicle AIs faster and more efficiently.
Steph
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$30m
SERIES B
Dec 2020
$11m
SERIES A
Total funding: $43.9m
Company benefits
- Flexibility to work from our office in the San Francisco Bay Area or your home office
- Competitive compensation
- Employer-paid supplemental medical, mental health, dental, and vision benefits
- 401(k)
- Paid vacation and sick time, winter shutdown, and 11 stat holidays each year
- Paid parental leave
- New hire equipment + accessories budget to optimize your setup
- $1,500 annual learning and development allowance
Company HQ
Financial District, San Francisco, CA
Leadership
Kevin McNamara
(CEO)They studied Computer Science at Harvard before working for almost 3 years as a Microsoft Technical Artist. They left their Procedural Content Lead at Apple in July 2017 to found Parallel Domain, where they have served as CEO since.
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