The Role
Profile and optimize AI training and inference systems for throughput, latency, memory efficiency, and cost. The engineer will tune distributed training, GPU workloads, model compression, attention, LLM serving, data pipelines, and compiler-level optimizations. Responsibilities include developing benchmarks, regression frameworks, performance playbooks, and hardware evaluations while collaborating with ML and platform engineering teams. The role requires strong Python and C++ skills, deep knowledge of distributed systems and parallelism, and experience optimizing deep learning workloads on modern GPUs.
Summary Generated by Built In
AI Performance Engineer – Remote
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.
Job Title: AI Performance Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
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.
Key Responsibilities
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
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.
Job Title: AI Performance Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
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.
Key Responsibilities
- Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost.
- Identify and eliminate bottlenecks across data loading, model compute, communication, and memory.
- Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference.
- Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding.
- Tune attention implementations using FlashAttention, paged attention, and related techniques.
- Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving.
- Drive compiler-level optimizations using Triton, XLA, TorchInductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains.
- Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training.
- Build and maintain rigorous benchmark suites and regression frameworks across workloads.
- Collaborate with ML and platform engineering teams to embed best practices in standard pipelines.
- Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies.
- Evaluate new hardware and software offerings, and advise on adoption.
- Document performance tuning playbooks and share findings broadly across engineering teams.
- Stay current with AI systems research and translate advances into production improvements.
- 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.
- 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.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Skills Required
- 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
- 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
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.
