2

Remote Gpu Programming Jobs in Tracy, CA (NOW HIRING)

Remote Gpu Programming information

See Tracy, CA salary details

$35.5K

$69.9K

$102.8K

How much do remote gpu programming jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote gpu programming in Tracy, CA is $69,943.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,400.00 and $86,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

What are the key skills and qualifications needed to thrive as a remote GPU programmer?

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
What cities near Tracy, CA are hiring for Remote Gpu Programming jobs? Cities near Tracy, CA with the most Remote Gpu Programming job openings:

Project Manager, Cluster Deployment

STN Incorporated

Pleasanton, CA • On-site, Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Project Manager, Cluster DeploymentLocation: Pleasanton, CA (Hybrid) or Remote with Travel
Reports To: Project Management Operations
At STN, we don\'t just adapt to the digital future, we engineer it. Our mission is to help organizations thrive in a rapidly evolving technology landscape through strategic insight, cutting-edge solutions, and a security-first mindset. We provide end-to-end services spanning cloud consulting, AI infrastructure, and enterprise security, enabling secure, scalable, and future-ready transformation.
As trusted advisors, we align IT investments with business outcomes that drive performance and growth, starting with deep strategic engagement and delivering tailored solutions built for long-term impact.
Our approach is innovation-led and rooted in cybersecurity, with a focus on leveraging the right technologies to solve real-world challenges. We invest in our people and foster a culture of growth, inclusion, and purpose because we believe empowered teams build transformative technology.
Overview
The Project Manager, Cluster Deployment owns end-to-end delivery of STN\'s GPU cluster builds across colocation and modular data center (MDC) sites. This role drives schedule, scope, budget, and quality from contract execution through customer go-live, coordinating across architecture, supply chain, vendors, colocation partners, and customer technical teams. Initial assignments include GPUaaS deployments for enterprise AI customers and multi-site MDC builds (TX, MO, SC).Key ResponsibilitiesDeployment Execution
  • Own the master project plan, RAID log, and critical path for each cluster deployment from PO through customer acceptance
  • Drive site readiness across power, cooling, structured cabling, network, and physical security
  • Manage hardware logistics: GPU/server/networking receipt, staging, rack-and-stack, burn-in, and acceptance testing
  • Coordinate cross-functional teams across Architecture, Engineering, Managed Services, and Field Operations
Vendor and Partner Management
  • Manage MDC, EPC, OEM, and colocation vendor schedules and deliverables (e.g., Mod42, Collier, CoreSite, Equinix)
  • Run weekly vendor scorecards; escalate slips, change orders, and dependency risks
  • Coordinate freight, cargo insurance, customs (where applicable), and high-value GPU shipment receiving
Customer delivery
  • Serve as primary technical PM interface to customers from kickoff through go-live and handoff to CSM
  • Maintain customer-facing schedules, status reports, and milestone communications
  • Coordinate acceptance testing, SLA baseline validation, and project closeout documentation
Financial and contractual
  • Track project budget, capex/opex burn, vendor invoicing, and milestone-based payments against the service order or MSA
  • Flag scope changes and drive change-order process with Sales, Legal, and Finance
  • Partner with Finance on revenue recognition triggers (deposit, MRC start, true-up)
Governance and reporting
  • Produce weekly executive status (Sabur/Tom/Armar) and customer status reports
  • Maintain deployment runbooks, lessons learned, and template artifacts to scale future builds
Experience & QualificationsRequired
  • 5+ years PM experience delivering data center, colocation, or large-scale infrastructure projects
  • Demonstrated ownership of multi-million dollar deployments with vendor, customer, and internal stakeholder coordination
  • Strong working knowledge of data center physical infrastructure (power, cooling, cabling, racks) and IT infrastructure (compute, storage, networking)
  • Proficient with project tooling (MS Project, Smartsheet, Asana, or equivalent) and standard collaboration stack (M365, Slack)
  • Excellent written communication; comfortable producing exec-ready status and customer-facing updates
Preferred
  • Direct experience deploying GPU clusters (NVIDIA HGX/DGX, B200/B300/GB300) or HPC/AI infrastructure
  • Experience with modular data center (MDC) builds or greenfield site delivery
  • Familiarity with InfiniBand/RoCE fabrics, liquid cooling, and high-density power designs
  • PMP, PRINCE2, or equivalent certification
  • Background working with hyperscaler, AI lab, or enterprise AI customers

Success Metrics (first 12 months)
  • On-time go-live across assigned deployments vs. contracted dates
  • Budget variance within ±5% of approved plan
  • Customer acceptance and CSAT at handoff
  • Reduction in deployment cycle time across repeat build patterns
  • Quality of project documentation and post-mortem outputs

Travel Up to 40% to deployment sites and customer locations.Compensation
  • Full-Time, Exempt
  • $125,000-$165,000/year, DOE
Benefits
  • Health Coverage – Medical, Dental & Vision
  • FSA Health and Dependent Care available
  • 401(k) Plan
  • Unlimited Paid Time Off (PTO)
  • Observed Holidays Paid
  • Cell Phone Allowance
  • Collaborative, growth-driven culture
Candidates must be U.S. Citizens or Permanent Residents. We are unable to provide sponsorship at this time

Employment is contingent upon the successful completion of a background check and reference verification. All applicants must be authorized to work in the United States on a full-time basis.