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Added 8 hours ago
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Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 19 hours ago
Senior MLOps Engineer
C the Signs
Remote, United States
We’re hiring a Senior MLOps Engineer with deep machine learning engineering experience to build and operate the production platform powering ML/LLM-driven healthcare workflows. You’ll…
Added 1 day ago
Principal Software Engineer, E2E Performance and Goodput - CSP Engagements
NVIDIA USA
Remote, United States
We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key…
Added 2 days ago
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Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 2 days ago
Lead Forward Deployed Engineer (FDE) - AI Platforms (ML, LLMs, APIs, ML Ops)
Target Enterprise Inc
Remote, United States
As a Lead Forward Deployed Engineer - AI Platforms (FDE), you will help accelerate the adoption of Target's enterprise AI platform by working with product and engineering teams to solve…
Added 2 days ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 2 days ago
Senior Data Engineer (Databricks) - Contractor - US
Object Edge
Remote, United States
solutions on the Databricks Platform using core cloud data lakehouse methodologies,
Added 2 days ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Added 2 days ago
Senior Machine Learning Engineer
Atlassian
Remote, United States
…entity.Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Atlassian is seeking a Senior Machine Learning Engineer to join our Central AIteam. The…
Added 2 days ago
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Software Engineer, ML Workload Platform
Cohere
Remote, United States
- $200,000 to $325,000 USD / year
You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The…
Added 3 days ago
Staff Forward Deployed Engineer
Databricks
Remote, United States
As a Staff Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the…
Added 3 days ago
Sr. Forward Deployed Engineer - Public Sector
Databricks
Remote, United States
As a Sr. Forward Deployed Engineer (FDE), you will work with federal, state, and local government customers to build and productionize solutions to their data & AI challenges using the…
Added 3 days ago
Technical Program Manager
Phaidra
Remote, United States
The ability to work effectively with distributed teams using clear documentation and asynchronous communication.
Added 3 days ago
Solutions Architect - Digital Native Business (Geo)
Databricks
Remote, United States
Databricks certifications (Data Engineer, ML, Platform)
Added 4 days ago
Cloud Security Engineer
Jobgether
Remote, United States
The Cloud Security Engineer will play a key role in strengthening and maintaining security across enterprise cloud environments, with a primary focus on AWS and Microsoft Azure, alongside…
Added 4 days ago
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AI/ML Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $130,000 USD / year
We are seeking a motivated and technically skilled AI/ML Engineer to join our engineering team. The ideal candidate will have a strong foundation in Python programming, machine learning…
Added 4 days ago
TZ
Cloud Security Engineer - part-time (R-00250)
True Zero Technologies
Remote, United States
- Part-time
True Zero Technologies is seeking an experienced Cloud Security Engineer to support the design, implementation, monitoring, and continuous improvement of security capabilities across…
Added 5 days ago
Solutions Architect - Telco
Databricks
Remote, United States
Databricks certifications (Data Engineer, ML, Platform)
Added 6 days ago
Product Lead – Clinical Trial AI Platform (eClinical)
Massive Bio
Remote, United States
Every cancer patient deserves access to treatment options. Massive Bio is an AI-powered precision medicine platform transforming how cancer patients discover and access clinical trials by…
Added 6 days ago
Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Remote, United States
As a Big Data Engineer in Tech Enablement, you will:
Added 6 days ago
Senior Software Engineer, Big Data, Tech Enablement
ZipRecruiter
Remote, United States
As a Big Data Engineer in Tech Enablement, you will:
Added 6 days ago
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Senior AIOps Engineer
Porch.com, Inc.
Remote, United States
- $135,000 to $189,000 USD / year
Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer…
Added 6 days ago
VL
Staff Network Engineer (AI Infrastructure)
vCluster Labs
Remote, United States
- $170,000 to $210,000 USD / year
As a Staff Network Engineer at vCluster Labs, you aren't just configuring switches; you are building the automation logic that configures them. AI Clouds run on InfiniBand and high-speed…
Added 7 days ago
Senior Machine Learning Engineer
Treasure AI
Remote, United States
…customer experiences. Our sophisticated cloud-based customer data platform drives operational efficiency across the enterprise to deliver powerful business outcomes in a way that’s safe,…
Added 9 days ago
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Research Engineer / Scientist, Reinforcement Learning
Harvey
Remote, United States
- $230,000 to $450,000 USD / year
- Deep ML fundamentals and experience getting distributed training runs working reliably.

Closed listing

Bright Vision Technologies

AI Infrastructure Engineer

Remote, United States

$100,000 to $160,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $100,000 to $160,000 USD / year
Closing date: Jan 26, 2027
Experience: Experience Required: 10+ years
Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

AI 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: AI Infrastructure Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$160,000 Annually Experience Required: 10+ 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.
Ten 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 venkat.r@bvteck.com or contact us at (908) 505-3899. 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.

About employer

More about this job

Skills

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

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