Remote jobs in the United States

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Added 2 mins ago
AI Solutions Architect
Materion Services Inc
Remote, United States
Design, develop, operationalize, and deploy AI/ML and LLM-based solutions in production.
Added 33 mins ago
CP
Senior Data Analyst
Clarity Pediatrics
Remote, United States
- $150,000 to $175,000 USD / year
- Experience building agentic or LLM-based workflows
Added 50 mins ago
LD
Senior Lead Data Engineer - Part Time - 24 hours per week
Lighthouse Document Technologies Inc
Remote, United States
- Part-time
…extraction through encoder model training, document scoring, and LLM-based RAG pipelines. The role partners closely with data science, product, and engineering leaders and raises the…
Added 58 mins ago
Senior Manager, Training
Docker
Remote, United States
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 1 hour ago
IG
Principal QA Architect
Insight Global
Remote, United States
- $145,000 to $210,000 USD / year
Strong AI integration experience, including implementing AI-enabled solutions, intelligent automation, or LLM technologies into software development and QA workflows.
Added 1 hour ago
Senior Research Scientist, AI Bio Capabilities Verification
SecureBio
Remote, United States
- Experience with liquid-handling automation, or with agentic LLM tools such as Claude Code or Codex.
Added 1 hour ago
Staff Driver Engineer
Modular
Remote, United States
Familiarity with Mojo, or recent open-source contributions to systems projects (LLVM, PyTorch, JAX/XLA, TVM, IREE, vLLM, TRT-LLM).
Added 1 hour ago
F
Head of Engineering (Frontier Safety)
FAR.AI
Remote, United States
- $225,000 to $350,000 USD / year
Added 1 hour ago
EE
Staff Engineer, Application Security (Remote, US)
Everyday Electric
Remote, United States
- $170,000 to $220,000 USD / year
AI and agentic security: Define and implement security guardrails for LLM-powered applications, AI agents, coding assistants, and MCP/tool integrations, including identity, permissions,…
Added 2 hours ago
Lead Agentic AI Solutions Engineer
CVS Health
Remote, United States
Hands-on experience implementing RAG architectures, vector search, document ingestion, LLM integrations, prompt engineering, context engineering, evaluation frameworks, testing harnesses,…
Added 2 hours ago
K
Security Engineer
Kforce
Remote, United States
- $110,000 to $135,000 USD / year
Added 2 hours ago
Senior Professional Services Consultant - AI Security
Zscaler
Remote, United States
…AI Security solutions - including AI Guard across Proxy and Developer Application Security modes, AI Protect, and SPLX automated probing - alongside the broader Zscaler Zero Trust Exchange…
Added 2 hours ago
H
Senior Applied AI Enginner, AI Platform
Headway
Remote, United States
- $182,750 to $278,500 USD / year
- Someone who likes users you can see. You've gravitated toward internal platform or developer tooling work, or taught something and enjoyed it.
Added 2 hours ago
React Full Stack - Senior Software Engineer
Marsh Agency LLC
Remote, United States
Ability to design secure, scalable systems that integrate with identity platforms, third-party APIs, OCR/document-processing services, and LLM-powered workflows.
Added 3 hours ago
RA
Software Engineer, Project, AI Platforms
Rockwell Automation (USA)
Remote, United States
- $139,680 to $176,600 USD / year
Hands-on experience using AI coding tools and LLM APIs in your day-to-day work
Added 3 hours ago
Digital Product Manager, Agentic AI Platform
eResearch Technology Inc
Remote, United States
…products. Candidates with less experience and direct AI or developer platform ownership will also be…
Added 4 hours ago
PT
Senior AI Implementation Technical Lead
Proactive Technology Management
Remote, United States
- $90,000 to $110,000 USD / year
Infrastructure: Bicep, Azure Developer CLI, GitHub Actions, Docker
Added 4 hours ago
Q
Solutions Systems Engineer
Q2Impact
Remote, United States
- $135 USD / hour
Added 4 hours ago
AI Engineer
Raydar
Remote, United States
- Track record of releasing LLM-based or agent-style systems that real outside users depend on in live environments.
Added 4 hours ago
Senior Data Scientist
Prominence Advisors
Remote, United States
…our customers harness the power of generative AI by building LLM-powered applications that unlock new possibilities for clinical and operational…
Added 5 hours ago
SJ
Director, Data and AI
St. Jude Children's Research Hospital, Inc.
Remote, United States
- $138,320 to $262,080 USD / year
Added 5 hours ago
A
Software Engineer (Back End)
Aboon
Remote, United States
- $210,000 to $225,000 USD / year
- Experience exposing systems to LLM agents (MCP, tool APIs), fintech or retirement domain, React/TypeScript for occasional full-stack work.
Added 5 hours ago
A
Founding Analytics Engineer
Aboon
Remote, United States
- $170,000 to $190,000 USD / year
- Experience making data accessible to AI - MCP servers, LLM data access, or other similar patterns.
Added 5 hours ago
A
Senior Applied AI Engineer
Aboon
Remote, United States
- $220,000 to $240,000 USD / year
- You've shipped an LLM- or agent-powered system that people used in a real workflow. You can explain what you built, how you measured quality, and what you changed when it failed.
Added 5 hours ago
Senior Software Engineer
Mirantis
Remote, United States
…platform engineering teams to deliver composable, production-ready developer platforms across any environment - on-premises, in the cloud, at the edge, or in sovereign data centers. As…

Closed listing

Bright Vision Technologies

AI Performance Engineer

Remote, United States

$100,000 to $150,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $100,000 to $150,000 USD / year
Closing date: Jan 27, 2027
Experience: Experience: 6+ years
Posting language: English
Posted: Oct 29, 2026

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Original job description

Archived listing. The details below describe a past opening.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

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.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

AI Performance Optimization Engineer Job Title: AI Performance Optimization Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K / Annum Experience: 6+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. 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. 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. 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. 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. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. 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. 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.

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.

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 venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. 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. Position offered by “No Fee Agency.” 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.

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Remote jobs in the United States