Senior Software Engineer, Parallel Domain
Development Platform
$155-175k
Synthetic data for computer vision and perception
Be an early applicant
Synthetic data for computer vision and perception
21-100 employees
Be an early applicant
$155-175k
21-100 employees
Company mission
To bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most.
Role
Who you are
- Autonomy and Ownership. You have a track record of owning ambiguous, cross-team projects end to end and driving them to completion
- Track-record of Delivering. You're a strong software engineer with a proven track-record of delivering complex projects involving multiple connected components
- Pipelines and Data Systems. You've built and operated production data or service pipelines, and you're comfortable with databases and data modeling
- Comfort in uncertainty. You move comfortably across unfamiliar, under-documented systems and can get your footing to drive value quickly
- Strong collaboration. You work well across teams and disciplines, and communicate clearly with both engineers and non-engineers
- This is the surface area our team works across and has ownership over and below are a set of skills and technologies that you will interact with on a daily basis
- . On the Dev Platform Team, we value range, adaptability and flexibility
- Languages and Frameworks. Python, C++, gRPC, Proto, FastAPI, Flask, PostgreSQL, CMake
- Systems & Infrastructure. Apache Airflow, AWS (including EKS, ECR, S3, RDS and Lambda), Kubernetes, Docker, Jenkins, Github Actions
- Domain Experience. Build, CI/CD and Release Engineering. Cross-Product & Cross-Service Interfaces. Test Strategy & Quality Infrastructure. Familiarity with Simulation in Autonomous Systems
What the job involves
- Long before an autonomous vehicle is ever tested in one of our virtual worlds, an engineer at Parallel Domain has to build, test, and ship the software that creates that world
- The Development Platform team owns the systems that lets them ship safer features, faster
- Parallel Domain builds the synthetic data and simulation platform that autonomous-vehicle and robotics teams use to develop and validate their systems
- Our team owns the connective tissue of the engineering org: the SDK and platform services every other team builds on, the tooling and CI that move our code, and the contracts that hold our products together
- When we do our job well, every engineer at the company ships faster and more safely
- We're hiring a senior software engineer for our team
- Our area of ownership and work spans the entire engineering org, and our tech stack is wide and varied: Python and C++, data pipelines, databases, CI and build systems, transport layers, and cloud infrastructure
- The engineers that thrive here are excited about following a problem wherever it leads instead of staying inside one technology
- You'll own meaningful, ambiguous projects from definition through delivery, with real autonomy over how they get done
- Solving the problems we face means being comfortable in and understanding the full breadth of our code base
- Own ambiguous projects end to end. You'll take on broad, loosely-defined problems and drive them to a clean outcome, deciding the approach yourself rather than waiting for a plan. Autonomy is the heart of the role
- Take a high-level product view of the features you ship. You think past the immediate task to the user and the product: why a feature matters, who depends on it, and what "done" really means. You make engineering decisions with that context instead of just building to spec
- Think architecturally about complex systems. You see how a large system fits together and influence their collective design: which component owns what, how responsibilities are divided, and the interfaces between constituent parts
- Work across the whole platform. You'll range across the full surface of the platform over time: our Python pipelines and SDK, our control-plane services and databases, our CI and build systems, and our C++/gRPC service layer. You go where the work is most valuable rather than staying in one lane
- Collaborate across teams. You'll partner regularly with our reconstruction/ML, content, and product engineers, and you'll often be the person connecting work that spans more than one team
- Raise the bar. You'll make sound architectural calls, weigh tradeoffs pragmatically, and improve how the team designs, tests, and ships. You make the engineers around you better
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 is fuelling 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 HQ
Financial District, San Francisco, CA
Salary benchmarks
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