lumalabs

Luma is seeking a Research Scientist/Engineer to build the systems that enable reinforcement learning (RL) at a frontier scale. This role involves coupling policy optimization with large fleets of inference workers, agentic environments, and reward/verification systems to translate model behavior into learning signals. RL is crucial for Luma's models to evolve from capable to useful. This is a full-loop systems problem encompassing training, rollout generation, environment execution, and reward computation across thousands of GPUs, requiring speed, stability, and correctness. The ideal candidate has experience with post-training LLMs using RL, building environments and verifiers, and debugging large-scale asynchronous rollout pipelines.

Luma is seeking a Software Engineer to own the serving of their AI models. This role involves integrating new model architectures into the inference engine, scaling deployments across thousands of machines, and optimizing the utilization of expensive GPU fleets while meeting internal service level objectives (SLOs). The work focuses on large-scale inference systems, including scheduling, fleet management, deployment pipelines, and ensuring reliability across diverse clusters and hardware providers. This position is ideal for a strong systems engineer comfortable with model serving and Kubernetes at scale, rather than those seeking pure modeling work.

Luma is seeking a Software Engineer to own the serving of their AI models. This role involves integrating new model architectures into the inference engine, scaling deployments across thousands of machines, and optimizing the utilization of expensive GPU fleets while meeting internal service level objectives (SLOs). The work focuses on large-scale inference systems, including scheduling, fleet management, deployment pipelines, and ensuring reliability across diverse clusters and hardware providers. This position is ideal for a strong systems engineer comfortable with model serving and Kubernetes at scale, rather than those seeking pure modeling work.

$195k - $345k

Luma is seeking a Research Scientist/Engineer to focus on optimizing the performance of their multimodal models. This role involves profiling and enhancing GPU, CPU, and accelerator code to ensure efficient training and scalable deployment without compromising quality. You will be responsible for writing kernels and operations that maximize hardware utilization and minimize latency, requiring deep expertise in GPU optimization, transformer internals, and low-level programming.

$195k - $395k

Luma is seeking a Research Scientist/Engineer to focus on optimizing the performance of their multimodal models. This role involves profiling and enhancing GPU, CPU, and accelerator code to ensure efficient training and scalable deployment without compromising quality. You will be responsible for writing kernels and operations that maximize hardware utilization and minimize latency, requiring deep expertise in GPU optimization, transformer internals, and low-level programming.

Luma is seeking a Research Scientist / Engineer to build and optimize the distributed systems that train large-scale multimodal models across thousands of GPUs. This role focuses on advanced parallelism, training stability, and utilization across massive clusters, requiring deep expertise in distributed PyTorch and CUDA. The goal is to provide researchers with reliable, efficient, and scalable infrastructure for innovation.

$195k - $395k

Luma is seeking a Research Scientist / Engineer to build and optimize the distributed systems that train large-scale multimodal models across thousands of GPUs. This role focuses on advanced parallelism, training stability, and utilization across massive clusters, requiring deep expertise in distributed PyTorch and CUDA. The goal is to provide researchers with reliable, efficient, and scalable infrastructure for innovation.