Bright Vision Technologies

Bright Vision Technologies

AI Performance Optimization Engineer

Monroe Township, New Jersey · Full-time

H1B sponsorship available$100k-$150kDetected 32 days ago
PythonDistributed SystemsFull-Stack DevelopmentCode ReviewPlatform EngineeringMachine LearningDeep LearningData EngineeringLLMsResearchCommunicationCollaborationMentoring

About the role

  • We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems.
  • The role 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.
  • The ideal candidate has demonstrated impact on production AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions.

Responsibilities

  • Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost.
  • 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.
  • 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.
  • Document performance tuning playbooks and share findings broadly across engineering teams.

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++.
  • Experience with profiling tools across CPU, GPU, and distributed systems.
  • Familiarity with model compression techniques and their accuracy implications.

Nice to have

  • 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.

Compensation

  • Competitive base salary commensurate with experience, plus benefits.
  • Employment Terms & Visa Policy
  • We do not engage in C2C, 1099, or third-party arrangements for this role.
  • BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES.
  • ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.
  • No new H1B sponsorship is available for this role.

Benefits

  • Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.
  • In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
  • Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
  • Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
  • This role is part of Bright Vision Technologies' in-house Statement of Work (SOW) engagement.
  • The client, end customer, and employer for this position is Bright Vision Technologies - there is no third-party client, vendor, or implementation partner involved.
  • Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
  • Learn more about Bright Vision Technologies at www.bvteck.com.
  • We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
  • Bright Vision Technologies is an
  • Equal Opportunity Employer, including Disability/Veterans.

Company info

  • As we continue to grow, we're looking for a skilled AI Performance Optimization Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

Equal opportunity

  • equal opportunity employer and place a high value on diversity and inclusion at our company.
  • Equal Employment Opportunity (EEO) Statement

Visa & Work Authorization

  • No new H1B sponsorship available.
  • H1B transfers welcomed for qualified candidates.
  • Employment Terms & Visa Policy
  • No new H1B sponsorship is available for this role.
  • However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply.
  • We will support H1B transfers for qualified candidates.
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This listing is sourced directly from Bright Vision Technologies's careers page and normalized into a canonical job model.