ZipRecruiter

Log In

1

Weekend Software Engineer Gpu Jobs in Arizona (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Tempe, AZ · On-site

$101K - $139K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) • 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack Company : Deloitte is a business consulting ...

Fox

Director, Platform Engineering

Tempe, AZ

... software engineering practices * Experience with AI workflows, LLMs, model deployment, inference, training pipelines, or AI-enabled application development * Experience with GPU compute, local model ...

General Motors

Staff ML Compiler Engineer

Phoenix, AZ · On-site

... grade software that can run efficiently and reliably on real vehicles at scale. We pioneer new ... You'll join a group of deep compiler, systems, and GPU engineers who enjoy working on hard problems ...

TEKsystems

Openshift Platform Engineer

Chandler, AZ · Hybrid

$70 - $89/hr

Kubernetes/Openshift Platform Engineer Chandler, AZ (Hybrid 3 Days in 2 Days remote) - We are ... Familiarity with GPU platforms, NVIDIA software stack, or high-performance AI infrastructure.

TEKsystems

Openshift Platform Engineer

Chandler, AZ · Hybrid

$70 - $89/hr

Kubernetes/Openshift Platform Engineer Chandler, AZ (Hybrid 3 Days in 2 Days remote) - We are ... Familiarity with GPU platforms, NVIDIA software stack, or high-performance AI infrastructure.

Intel

Machine Learning Engineer

Phoenix, AZ

Debug and optimize training runs - Profile training jobs, resolve bottlenecks, improve GPU ... Required Qualifications * BS in CS, EE, Math or related STEM field * 5+ years software development ...

next page

Showing results 1-20

All JobsWeekend Software Engineer Gpu JobsWeekend Software Engineer Gpu Jobs in Arizona

Weekend Software Engineer Gpu information

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in Arizona? The most popular types of Software Engineer Gpu jobs in Arizona are:
Weekend Software Engineer Gpu jobs near you
Machine Learning Engineer with Security Clearance

Machine Learning Engineer with Security Clearance

Prime Solutions Group, Inc

Goodyear, AZ • On-site

$110K/yr

Other

Posted 14 days ago

Job description

Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production—developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments. You’ll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions. What You’ll Do
- Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment - Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow - Integrate models into production systems (APIs, batch pipelines, real-time services) - Implement model validation, evaluation metrics, and performance monitoring - Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements - Collaborate with data engineers and domain experts to prepare and validate datasets - Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments - Troubleshoot model and pipeline issues; perform root cause analysis and optimization - Contribute to technical documentation, test plans, and operational runbooks - Participate in design reviews, architecture discussions, and Agile development processes - Mentor junior engineers and promote engineering best practices Requirements
- U.S. Citizenship - Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain) - Bachelor’s degree in Computer Science, Engineering, Data Science, or related field - 4+ years of experience in: - Machine Learning Engineering - Applied AI/ML development - Production ML systems - Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) - Experience developing, training, and deploying ML models in real-world applications - Solid understanding of the ML lifecycle (data > training > validation > deployment > monitoring) - Experience building maintainable, production-quality software - Familiarity with Docker and cloud environments (AWS, Azure, or GCP) - Experience working in Agile and CI/CD environments - Strong problem-solving, communication, and collaboration skills Preferred Qualifications
- Master’s degree in a related field - Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR) - Experience transitioning models from research to production environments - Familiarity with experiment tracking, model versioning, and reproducibility practices - Experience with GPU-based ML workflows and cloud ML platforms - Background in defense, intelligence, or other regulated environments Why Join PSG?
At PSG, you’re not just taking a job—you’re building technology that matters.
- Competitive compensation & benefits - 9/80 flexible work schedule - Professional development & tuition assistance - Small, agile team with high ownership and visibility - Work on mission-critical systems supporting national security - Opportunities to grow across AI/ML, software engineering, and platform development Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems. Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.

Apply