Model Optimization Engineer
About the role
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Position: Model Optimization Engineer, 100% Remote (U.S.), Full-time, Direct W2. Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply; we are unable to sponsor new H-1B visa petitions for this position.
Responsibilities
Extract maximum throughput, minimize latency, and reduce cost across training and inference workloads for large neural network systems. Work spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. Collaborate with cross‑functional partners (product, design, engineering, operations, business) to translate ambiguous requirements into well‑engineered solutions, raise the bar through code review, design review, and mentorship of junior engineers.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in performance engineering, ML systems, or HPC
- Strong proficiency in Python and C++
- Hands‑on experience optimizing deep learning workloads on modern GPUs
- Deep understanding of distributed training and inference techniques
- Experience with profiling tools across CPU, GPU, and distributed systems
- Familiarity with model compression techniques and their accuracy implications
- Strong grasp of memory hierarchies, communication primitives, and parallelism strategies
- Excellent measurement, debugging, and analytical reasoning skills
- Strong communication and collaboration skills
Qualifications
- Experience optimizing LLM inference at production scale
- Contributions to vLLM, TensorRT‑LLM, DeepSpeed, or similar projects
- Familiarity with custom kernel authoring in Triton or CUTLASS
- Experience with FinOps for AI workloads
- Publications or talks on AI systems performance
Pay
Salary range: $150,000–$175,000 annually.