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Temporary Gpu Programming Jobs (NOW HIRING)

Nscale

Site Safety Representative

Point Pleasant, WV · On-site

About Nscale NScale is the GPU cloud engineered for AI. We provide cost-effective, high-performance ... commissioning • Temporary power systems and construction electrical distribution Assurance ...

Nscale

Site Safety Representative

Point Pleasant, WV

About Nscale NScale is the GPU cloud engineered for AI. We provide cost-effective, high-performance ... Temporary power systems and construction electrical distribution Assurance, Audits & Compliance ...

Super Micro Computer

Content Designer

San Jose, CA · On-site

$33 - $45/hr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join ... Understanding of CPU and GPU general technology Qualifications: * 2+ Years of high-intensity ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... Engineering, or a related field. * Familiarity with verification methodologies for CPU or GPU ... The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... Engineering, or a related field. * Familiarity with verification methodologies for CPU or GPU ... The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... Engineering, or a related field. * Familiarity with verification methodologies for CPU or GPU ... The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

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Temporary Gpu Programming information

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How much do temporary gpu programming jobs pay per year?

As of Jun 19, 2026, the average yearly pay for temporary gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary GPU Programmer, and why are they important?

To thrive as a Temporary GPU Programmer, you generally need strong proficiency in parallel programming, C/C++, and deep knowledge of GPU architectures, often supported by a degree in computer science or a related field. Familiarity with technical tools like CUDA, OpenCL, and GPU profiling/debugging systems is typically required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills ensure efficient development, optimization, and troubleshooting of GPU-accelerated applications in a fast-paced, project-based environment.

What types of projects or tasks are commonly assigned to temporary GPU programming roles?

Temporary GPU programming roles typically focus on short-term, high-impact projects such as optimizing existing code for parallel processing, accelerating specific algorithms, or supporting research and development teams with prototype implementations. You may be tasked with profiling and enhancing the performance of applications using frameworks like CUDA or OpenCL, or assisting with machine learning model training and inference on GPU hardware. Collaboration with data scientists, software engineers, and domain experts is common, and your contributions often involve delivering tangible speedups or enabling new computational capabilities within tight timelines.

What is a Temporary GPU Programmer?

A Temporary GPU Programmer is a professional hired on a short-term basis to develop, optimize, or maintain software that runs on Graphics Processing Units (GPUs). These programmers typically work with languages like CUDA, OpenCL, or DirectX to accelerate complex computations or graphics rendering. Temporary roles may be project-based, such as optimizing machine learning models, scientific simulations, or enhancing graphics in games and applications. Companies often hire temporary GPU programmers to meet specific deadlines, handle workload spikes, or bring in specialized expertise for certain tasks.
What are the most commonly searched types of Gpu Programming jobs? The most popular types of Gpu Programming jobs are:
Temporary Gpu Programming jobs near you
Network and Systems Engineer

Network and Systems Engineer

Neuralink

South San Francisco, CA • On-site

$126K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
For Neuralink's Information Technology team, the corporate environment is production. It is where our groundbreaking research and development takes place and hosts our assembly lines, neural recording training and processing, and many other functions. The team builds critical systems and processes that safely accelerate our progress along the company's critical path.
Job Description and Responsibilities:
Neuralink is looking for a hands-on Network & Systems Engineer with deep expertise in data center design, build, and operations. You will own the end-to-end lifecycle of our compute and network infrastructure - from site buildout and hardware procurement through deployment, automation, and day-to-day operations. The ideal candidate brings equal comfort on the data center floor and at the keyboard, thrives in a fast-paced high-stakes environment, and has a passion for building reliable, scalable systems from the ground up. The job responsibilities will include:
  • Design, build, and operate data center environments including power infrastructure (PDUs, UPS, generators), cooling systems (CRAC/CRAH, liquid cooling), and scalable racking solutions
  • Procure, rack, cable, and commission server and network hardware; perform BIOS/firmware tuning and integration testing
  • Own the full server lifecycle - from hardware selection and vendor coordination through deployment, maintenance, and decommission
  • Administer and manage HPC clusters, storage systems, and high-speed networksAutomate server provisioning using PXE/HTTP boot, scripting (Bash, PowerShell, Python), and configuration management tools such as Terraform, Ansible, and Puppet
  • Administer Linux and Windows server environments including OS deployment, patching, and performance tuning
  • Deploy, maintain, and monitor campus network infrastructure including switching, routing, wireless, and NAC; respond aggressively to incidents to maintain uptime
  • Plan and coordinate maintenance windows, upgrades, and expansions; maintain 24/7 on-call readiness
  • Ensure all systems comply with HIPAA, PII handling requirements, and applicable cybersecurity standards (ISO, NIST)
  • Author and maintain documentation including network topology, systems design, runbooks, and SOPs
  • Manage network and server hardware inventory

Required Qualifications:
  • Hands-on experience with Cisco Catalyst, Arista, and enterprise wireless technologies
  • Experience building and supporting HPC or high-density compute environments: GPU clusters, high-performance storage,
  • Working knowledge of routing protocols and network technologies: BGP, OSPF, ECMP, eBPF, SFLOW, TCP/IP, DNS, DHCP, SNMP, NTP, PTP, ARP, CDP, LLDP
  • Familiarity with DCIM tools and infrastructure monitoring (Prometheus, Grafana, or similar)
  • Experience with firewalls, SDWAN, and enterprise security technologies

Preferred Qualifications:
  • Familiarity with Wave Division Multiplexing, Fiber Optics, GPON, and FTTH
  • Familiarity with cluster resource managers (Slurm, LSF, PBS)
  • Experience with virtualization platforms (VMware/Hyper-V) and storage ecosystems (NAS/SAN, NFS/iSCSI)
  • Exposure to real-time systems and industrial telemetry networks
  • Industry certifications such as CCNA, CCNP, or equivalent data center certifications

Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$126,000-$190,800 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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