AI Performance Engineer

Bright Vision Technologies; Aurora (IL); Remote; USD 75,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Performance Engineer to optimize throughput and minimize latency for large neural network workloads across training and inference. You will work end-to-end from kernel optimization to distributed system tuning on GPUs, measuring impact with rigorous instrumentation.

The role requires strong Python/C++ skills and 6+ years in ML systems or HPC, plus experience with profiling, memory hierarchies, and model parallelism.

Qualifications

• Bachelor’s or Master’s degree in CS/CE or related field.
• 6+ years in performance engineering, ML systems or HPC.
• Proficiency in Python and C++.
• Experience optimizing DL workloads on modern GPUs.
• Understanding of distributed training and inference techniques.
• Experience with profiling tools across CPU, GPU, and distributed systems.
• Knowledge of memory hierarchies and parallelism.
• Strong measurement, debugging, and analytical skills.
• Excellent collaboration and communication.

Responsibilities

• Optimize throughput and latency for training and inference workloads.
• Work across the full stack from kernel level to distributed system tuning.
• Mentor junior engineers and participate in design and code reviews.
• Collaborate with product, design, engineering, operations and business teams.

Skills

Performance engineering

ML systems

Distributed training

Python

C++

Profiling tools

Memory optimization

Debugging

Communication

Education

Bachelor’s or Master’s in CS/CE or related field

Tools

Triton

CUTLASS

TensorRT-LLM

DeepSpeed

Job description

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

$75,000–$100,000 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.

Job Summary

We are seeking an AI Performance 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. In this role you will work closely with cross-functional partners - product, design, engineering, operations, and business stakeholders - to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Required Qualifications

• 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.

Preferred 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.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.