AI Optimization Engineer

Bazeta; Northern (KY); Hybrid; USD 90,000 - 110,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Optimization Engineer to maximize throughput, reduce latency, and lower costs across training and inference workloads for large neural networks. The role spans from kernel optimization to distributed system tuning.

The ideal candidate has 6+ years of performance engineering, strong Python and C++, and proven impact on production AI workloads, with excellent instrumentation and collaboration skills.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
• 6+ years in performance engineering, ML systems, or HPC.
• Strong Python and C++ proficiency.
• Experience optimizing DL workloads on modern GPUs.
• Knowledge of distributed training and inference techniques.
• Familiarity with profiling across CPU/GPU/distributed systems.
• Understanding of model compression and memory hierarchies.

Responsibilities

• Maximize throughput, minimize latency, and reduce cost for training/inference workloads.
• Profile and optimize kernel, memory, and communication paths across GPUs and CPUs.
• Collaborate with product, design, engineering, and operations to implement production-ready optimizations.
• Mentor junior engineers and contribute to design/review processes.

Skills

Python

C++

GPU optimization

ML systems

Distributed training

Profiling tools

Memory management

Measurement & debugging

Communication

Collaboration

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Triton

CUTLASS

TensorRT-LLM

DeepSpeed

Job description

# AI Optimization EngineerUnited States8 hours agoID 867467$100,000 Salary## DetailsEmployment type: Full-timeRemote: YesSalary from: 100,000Salary to: 100,000Company: Bright Vision Technologies## DescriptionAI Optimization 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 Optimization Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $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 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. 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. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to 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.