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Warehouse Associate - Weekend Day Shift 1
GXO Logistics
Lebanon, IN
· Ability to read and interpret documents such as safety rules, operating instructions and procedural documents
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Driver Non-CDL - Weekend Day Shift
GXO Logistics
Boise, ID
- From $25.5 USD / hour
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Driver Non-CDL - Weekend Night Shift
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Boise, ID
- From $25.5 USD / hour
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Clerk II - Weekend Night Shift - Lebanon, IN
GXO Logistics
Lebanon, IN
Experience operating material handling equipment and using a handheld scanner
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Manufacturing Operator
Actalent
Cranbury, NJ
- $24 to $26 USD / hour
…including regulatory requirements, safety guidelines, standard operating procedures (SOPs), work instructions, and related…
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Mechanical Engineer II
Actalent
Huntsville, AL
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Materials and Failure Analysis Engineer
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Controls Technician (TX)
Dandy
Carrollton, TX
…technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world - empowering clinicians and their teams with technology, innovation,…
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Industrial Engineer
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Critical Facility Technician 3 - Fayetteville, GA
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FAYETTEVILLE, GA
…Tysons, Virginia, and employs more than 7,000 professionals who engineer and deploy automated, secure, and resilient power and technology systems; and deliver the management platforms…
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Critical Facility Technician 2 - Fayetteville, GA
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Alpharetta, GA
- $107,400 to $264,300 USD / year
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The Senior Platform Engineer keeps the entire NBA platform healthy, reliable, and maintainable for the long term. You develop a working understanding of every layer of the technology stack…
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Lead Forward Deployed Engineer, Frontier GenAI
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Forward Deployed Engineer, Microsoft AI & Data
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Bright Vision Technologies

ML Infrastructure Engineer

Remote, United States

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

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Job details

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

Original job description

ML Infrastructure 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: ML Infrastructure Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 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 Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.

Key Responsibilities

Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations.
Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams.
Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering.
Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate.
Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication.
Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics.
Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale.
Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing.
Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently.
Partner with research and applied ML teams to plan capacity for upcoming training runs.
Implement security controls, isolation, and access management for multi-tenant AI infrastructure.
Drive automation across cluster provisioning, lifecycle management, and configuration enforcement.
Maintain runbooks, capacity dashboards, and operational documentation for the AI platform.
Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science or a related field.
Six or more years of experience in infrastructure, platform, or HPC engineering.
Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
Strong proficiency in Python and at least one systems language such as Go or C++.
Deep understanding of distributed training, accelerator architectures, and collective communication.
Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
Strong understanding of Linux internals, networking, and high-performance storage.
Experience with at least one major cloud provider’s ML infrastructure offerings.
Strong software engineering practices including testing, CI/CD, and code review.
Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

Experience operating InfiniBand or RDMA networking at scale.
Contributions to open-source ML infrastructure projects.
Familiarity with custom orchestrators or research-grade training stacks.
Exposure to frontier model training operations.
Experience with FinOps for AI workloads.

How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. 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.

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More about this job

Skills

ML
Scheduling
PyTorch
Communication skills
Research
Documentation
Computer science
Python
Go
C++
Kubernetes
Linux
CI/CD
Collaboration

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