As a Simulation Researcher/Engineer, you'll design simulation environments, build evaluation harnesses, develop simulation pipelines, and collaborate on generative models.
THE ROLE
We're building a sufficiently faithful, controllable simulation of the world — on top of Luma's generative video and 3D models — as the substrate for training general-purpose robot policies. As a Simulation Researcher/Engineer, you'll help define what that substrate looks like. You will sit at the boundary between generative models and classical physics simulation, and you'll be one of the people who decides where each one earns its keep.
WHAT YOU'LL DO
- Design simulation environments that are visually rich, physically plausible, and trainable at scale — a hybrid of generative rollouts and physics-engine-based scenes.
- Build the evaluation harness that tells us whether our world model is good enough to train robots on (sim-to-real gap, physical consistency, long-horizon coherence).
- Develop differentiable and GPU-accelerated simulation pipelines where they unlock new training signal.
- Drive the asset, scene, and task generation pipelines — including using Luma's own generative stack to bootstrap diversity.
- Collaborate with world-model researchers (upstream) and policy-learning researchers (downstream).
MINIMUM QUALIFICATIONS
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D — degree or equivalent practical record.
- Fluency in Python and C++; deep familiarity with at least one production physics engine (Isaac Sim/Lab, MuJoCo, Bullet, PhysX, Drake).
- Track record of building simulation systems other people actually used.
PREFERRED
- Research on sim-to-real transfer, domain randomization, differentiable simulation, or neural-rendering-based simulation.
- Game engine, CGI, animation, or photogrammetry background.
- Publications at top venues (CoRL, RSS, ICRA, NeurIPS, SIGGRAPH).
CompensationThe base pay range for this role is $250,000 – $450,000 per year.
About LumaLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Hunt and close net-new enterprise accounts across Alberta, building executive relationships and value-based business cases. Drive pipeline via prospecting, partners, and events; lead complex sales cycles with Sales Engineers and Customer Success to deliver observability, security, cloud modernization, and AI-driven outcomes.
Top Skills:
AiopsAWSAzureCloud MigrationCybersecurityDevOpsDynatraceGCPObservabilityPlatform Engineering
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.
Top Skills:
AnsibleAWSAzureBgpCloud RouterCloudflareDnsF5 Big-IpFirewallsGCPGitlab Ci/CdHa VpnIp Address ManagementIpsec VpnLoad BalancingTerraformVpc
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead high-impact reliability projects to improve resiliency, scalability, and deployment safety for thousands of services. Build secure configuration and secrets systems, improve canary-based release systems, partner with critical teams to reduce operational toil, drive observability and reliability best practices, participate in on-call rotations, and communicate architecture decisions to stakeholders.
Top Skills:
AWSAzureDatadogGCPGenerative AiGoKibanaRubyTerraform
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
