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Temporary Gpu Programming Jobs (NOW HIRING)

Additional Requirements: 1. Programming & data: Python (numpy/pandas), basic R (Seurat/tidyverse ... First Shift (United States of America) Temporary or Regular? This is a regular position FTE ...

Proficiency in PLC programming and configuration. * Demonstrated ability to perform detailed ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Proficiency in PLC programming and configuration. * Demonstrated ability to perform detailed ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

New

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Temporary Assignment Work Type: Onsite * The Senior AI Engineer - Privacy will design, build, and ... and GPU/compute resources. * Build and maintain CI/CD pipelines for AI model deployment using ...

Hardware Engineer

San Francisco, CA · On-site

$145K - $192K/yr

High performance/power edge compute including multi-CPU platforms with significant GPU resources ... wide temp ranges, IP, and solar loading * High speed signaling including GSML, multi gigabit ...

Assess new technologies (liquid cooling, high-density GPU cooling, exhaust filtration advancements ... temp/humidity/pressurization) o Chilled water, hot water, boilers, hydronics, pumps, and HVAC ...

Collaborate with technical leads, engineers, and project teams to complete deployments and ... Experience supporting large-scale GPU deployments. * Network infrastructure experience. * Systems ...

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Temporary Gpu Programming information

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How much do temporary gpu programming jobs pay per year?

As of Jul 10, 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:
Distinguished AI Engineer

Distinguished AI Engineer

NTT DATA Services

Jersey City, NJ

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

111th of 208 rated it services


Job description

Req ID: 379369 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Distinguished AI Engineer to join our team in Jersey City, New Jersey (US-NJ), United States (US).

Distinguished AI Engineer

Enterprise AI Architecture / LLM Platforms / Advanced AI Systems

Role purpose

Set the architecture, engineering standards, platform strategy, and technical governance for enterprise AI and GenAI capabilities. This role guides senior engineering teams and ensures AI platforms are scalable, reusable, observable, cost-efficient, and compliant with enterprise risk expectations. This role will be onsite in Jersey City, NJ.

Primary ownership

  • Target-state enterprise AI architecture, reference patterns, and platform guardrails.
  • LLMOps, AI gateways, model-serving strategy, evaluation platforms, observability, governance, and operating standards.
  • Technical assurance for high-risk or high-impact AI initiatives.

Key responsibilities

  • Define target-state architecture for LLM platforms, model hubs, AI gateways, RAG services, agent frameworks, orchestration layers, and model-serving infrastructure.
  • Establish enterprise standards for AI SDLC, LLMOps, MLOps, evaluation, release management, operational resilience, and production support.
  • Guide architecture for secure, scalable, and cost-efficient inference across cloud, hybrid, private, and containerized environments.
  • Define guardrail patterns for hallucination mitigation, bias monitoring, harmful-content controls, prompt injection defense, data leakage prevention, and human oversight.
  • Lead design reviews for critical AI systems and provide technical assurance to architecture and risk forums.
  • Partner with cybersecurity, risk, compliance, legal, audit, product, and business teams to align AI designs with enterprise controls.
  • Mentor principal engineers and establish reusable design patterns, reference implementations, and engineering playbooks.
  • Assess emerging AI technologies and recommend adoption based on business value, maturity, risk, cost, and regulatory fit.

Must-have candidate profile

  • 10+ years in AI/ML systems, distributed systems, enterprise architecture, or platform engineering.
  • Deep experience with LLMs, RAG, embeddings, model serving, AI orchestration, evaluation frameworks, and AI infrastructure.
  • Proven track record defining architecture and technical standards across multiple engineering teams.
  • Strong understanding of distributed training, GPU infrastructure, inference optimization, observability, model governance, and resiliency.
  • Ability to influence senior stakeholders and operate across business, technology, risk, compliance, and architecture forums.

Preferred experience

  • Global bank, fintech, financial-services, or regulated-enterprise platform experience.
  • Experience with enterprise AI platforms, private LLM deployments, internal model hubs, AI gateways, or multi-cloud AI strategy.
  • Familiarity with Responsible AI, model risk management, audit expectations, and technology risk controls.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$139,872 - $209,808], or [$80-$100] if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications.This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967