Senior Software Engineer, Generative AI, Gaming

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.

• Experience deploying, serving, and optimizing generative AI models (LLMs, Vision-Language Models, or Diffusion Models) in high-throughput, low-latency production environments.

• Experience in adapting LLMs or foundational models to comprehend spatial environments, physical constraints (gravity, momentum, collisions), and material properties.

• Expertise in optimizing memory bandwidth, KV-caching, and token routing—specifically to support long-context, multi-agent game loops without latency spikes.

• Proven track record of engineering automated evaluation harnesses, reward models, or testing frameworks (e.g., LLM-as-a-judge, visual regression testing, RLHF) to benchmark model quality, latency, and performance.