Bright Vision Technologies

Bright Vision Technologies

AI Performance Optimization Engineer

Monroe Township, New Jersey · Senior · Full-time

H1B sponsorship available$100k-$150kDetected 77 days ago
PythonDistributed SystemsFull-Stack DevelopmentCode ReviewPlatform EngineeringMachine LearningDeep LearningData EngineeringLLMsResearchCommunicationCollaborationMentoring

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

13 transfer filings in the last year, covering 13 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.

Skills

  • This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
  • AI Performance Optimization Engineer
  • 100% Remote (Continental United States)
  • In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
  • $100K - $150K / Annum
  • Sponsorship:
  • No new H1B sponsorship available.
  • H1B transfers welcomed for qualified candidates.
  • 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

Compensation

  • Competitive base salary commensurate with experience, plus benefits.

Benefits

  • 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.
  • Job Summary 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.

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.