Full-Time
Director of Engineering
Graphics & Simulation
Confirmed live in the last 24 hours
Parallel Domain
11-50 employees
Synthetic data solutions for autonomous systems
Compensation Overview
CA$200k - CA$250kAnnually
Senior, Expert
Vancouver, BC, Canada
Hybrid position available in Vancouver and San Francisco Bay Area.
- Deep experience in the video game, computer animation, or VFX industries, with demonstrated ability to deliver high-quality visuals and simulations.
- Proven track record of leading and mentoring high-performing technical teams in game technology or related fields.
- Excellent written and verbal communication skills to articulate technical concepts clearly and concisely.
- A strong understanding of visual aesthetics, lighting, composition, and animation principles.
- Ability to translate business objectives into actionable technical goals and roadmaps.
- A knack for identifying and resolving complex technical challenges.
- A drive to explore new technologies and methodologies to advance the state of the art.
- In-depth knowledge of Unreal Engine and its application to rendering and simulation.
- Familiarity with Houdini for 3D content creation and procedural workflows.
- Strong programming skills in C++, the primary language used by our engineering team.
- Experience with machine learning, computer vision, or synthetic data.
- Experience using Perforce for source control and release management.
- Familiarity with cloud-based infrastructure (AWS, Azure, GCP) for deploying and scaling applications.
- Provide technical leadership and strategic vision for our content, simulation, and rendering teams, fostering a culture of creativity and technical excellence.
- Apply cutting-edge game technology principles and techniques to enhance the realism, fidelity, and performance of our synthetic data platform.
- Define the technical roadmap for the team, aligning with broader company objectives and product vision.
- Manage project timelines, resource allocation, and deliverables to ensure successful execution of projects.
- Partner with cross-functional teams (ML, platform, SDK, QA) to integrate and optimize graphics, simulation, and rendering within the broader product ecosystem.
- Attract top talent and build a high-performing team capable of pushing the boundaries of game technology.
- Establish and maintain high standards for code quality, performance optimization, and artistic excellence.
- Continuously optimize system performance to meet the demands of complex simulations and rendering.
Parallel Domain provides synthetic data solutions designed to speed up the development of autonomous systems, such as self-driving cars and delivery drones. The company generates synthetic labeled datasets, simulation environments, and controllable sensor feeds, which help teams working on perception, machine learning, and data operations to develop, train, and test their algorithms in a safe and efficient manner. Unlike many competitors, Parallel Domain offers a user-friendly API that allows clients to easily integrate their synthetic data into existing workflows, reducing the need for extensive real-world testing. The company's goal is to streamline the development process for autonomous technologies, making it faster and more cost-effective.
Company Stage
Series B
Total Funding
$42.7M
Headquarters
Palo Alto, California
Founded
2017
6 month growth
↓ -1%1 year growth
↓ -3%2 year growth
↓ -43%
Simplify's Take
What believers are saying
- Increased demand for synthetic data in autonomous vehicle testing.
- Growing interest in generative AI technologies for synthetic datasets.
- Recent $30 million Series B funding boosts financial stability.
What critics are saying
- Increased competition from companies like DataMesh in digital twin offerings.
- Rapid advancement of generative AI could introduce new market entrants.
- Reliance on synthetic data may face scrutiny if real-world testing becomes feasible.
What makes Parallel Domain unique
- Parallel Domain offers a robust API for synthetic data generation.
- PD Replica creates high-fidelity digital twins for autonomous vehicle testing.
- Reactor engine uses generative AI for diverse, high-quality synthetic datasets.
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