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Remote Nvidia Deep Learning Jobs in Boston, MA (NOW HIRING)

You will leverage deep expertise to engineer sophisticated detection capabilities, develop ... This is a remote role JR: 2026-8010 #LI-Remote Why You'll Like Working for DigitalOcean * We ...

Deep technical knowledge of Strategy, Paid Media, SEO, and CRO for tech companies * Strong SaaS ... Driven to stay ahead of industry trends, including actively learning how AI and automation can ...

We value winning together--while learning, having fun, and making a profound difference for the ... Deep understanding of Layer 2/3/4 networking protocols (BGP, OSPF, IS-IS, VRRP, LACP) and their ...

Machine Learning * Climate Science A bit more about working at Salient We are a small team on a ... Remote work: Work and live where you like * 1 meeting-free day / week for deep work * Gathering for ...

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Remote Nvidia Deep Learning information

See Boston, MA salary details

$11.9K

$91.1K

$152.1K

How much do remote nvidia deep learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote nvidia deep learning in Boston, MA is $91,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,200.00 and $151,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Boston, MA?

For Remote Nvidia Deep Learning jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Nvidia Deep Learning jobs in Boston, MA look for?

The top searched job categories for Remote Nvidia Deep Learning jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Nvidia Deep Learning jobs?

Cities near Boston, MA with the most Remote Nvidia Deep Learning job openings:

Senior/Staff Site Reliability Engineer - Data Center

PathAI

Boston, MA • On-site, Remote

$165K - $224K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Who We Are
PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact.
Where You Fit
We're looking for a skilled staff level Site Reliability Engineer focused on designing, building, and operating our on-prem/cloud environment.
What You'll Do
If you're the right candidate, you'll be exercising all the skills you have and building new ones along the way:
  • Advancing the state of our operations by implementing SRE best practices - focusing on users, monitoring, and automation.
  • Designing, building, and operating our data center to support our rapidly growing Machine Learning team.
  • Building highly-secure on-premises environments handling NIST/ISO standards.
  • Integrating on-premises datacenter environments with existing cloud infrastructure to create a seamless hybrid cloud environment.
  • Improving the reliability and resilience of our infrastructure through root-cause analysis and reviewing gaps in designs, and implementations of our infrastructure.
  • Participating in platform on-call rotations and assisting with urgent incident response.
What You Bring
Our employees' skills come in all shapes and sizes, but to be successful in this role with us, you'll at least need:
  • 8+ years of relevant experience.
  • Familiarity with modern datacenter network designs and comfort operating across network layers.
  • You've administered physical hardware stacks in production settings (iDRAC/IPMI/Nvidia UFM/Juniper Systems).
  • Some experience and opinions on virtualization, containerization, or container orchestration platforms. (EKS-Anywhere/ClusterAPI/KVM).
  • You're opinionated on storage solutions and how they can be optimized for high performance workloads (Quobyte/S3/FSx/EFS).
  • Automation: You work hard to eliminate toil by automating everything through scripting, configuration management tools (Ansible/RedFish).
  • You've built monitoring infrastructure with modern observability tools (Datadog/Grafana/Prometheus).
  • Operations experience: You've managed critical production infrastructure and are familiar with incident response, scaling, and rapid growth related challenges.
  • A bachelor's degree in Computer Science or equivalent experience.
  • An insatiable intellectual curiosity and the ability to learn quickly in a complex space.
  • Occasional travel to onsite Datacenter location(s).
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors.
Annual Pay Range:
$165,750 - $224,450
Not Overtime Eligible
#LI-Remote