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Weekend Software Engineer Gpu Jobs in Tennessee (NOW HIRING)

SpaceXAI

Lead, Hardware Deployment Engineer

Memphis, TN · On-site

$120K - $158K/yr

As the Hardware Deployment Engineer Lead, you will own the end-to-end bring-up of GPU compute ... Willingness to work on-site in Memphis, TN, including extended hours and weekends during critical ...

MI Softech

Software Developer

Collierville, TN · On-site

In this professional position of Software Developer, beneficiary works on the TransifyDigital ... and weekends on a scheduled basis. 4. Analyze/Import/export data from/to centralized database ...

MI Softech

Software Developer

Collierville, TN · On-site

In this professional position of Software Developer, beneficiary works on the TransifyDigital ... and weekends on a scheduled basis. 4. Analyze/Import/export data from/to centralized database ...

SpaceXAI

Lead, Hardware Deployment Engineer

Memphis, TN

$120K - $158K/yr

As the Hardware Deployment Engineer Lead, you will own the end-to-end bring-up of GPU compute ... Willingness to work on-site in Memphis, TN, including extended hours and weekends during critical ...

SpaceXAI

Lead, Hardware Deployment Engineer

Memphis, TN · On-site +1

$120K - $158K/yr

As the Hardware Deployment Engineer Lead, you will own the end-to-end bring-up of GPU compute ... Willingness to work on-site in Memphis, TN, including extended hours and weekends during critical ...

Oracle Corporation

Software Developer 4

Nashville, TN

... GPU and CPU systems. We need strong engineers with distributed systems background to design and ... Career Level - IC4 As a member of the software engineering division, you will take an active role ...

Oracle

Software Developer 4

Nashville, TN · On-site

... GPU and CPU systems. We need strong engineers with distributed systems background to design and ... Career Level - IC4 As a member of the software engineering division, you will take an active role ...

Oracle

Software Developer 4

Nashville, TN

... GPU and CPU systems. We need strong engineers with distributed systems background to design and ... Career Level - IC4 As a member of the software engineering division, you will take an active role ...

Oracle

Program Manager 4

Nashville, TN · On-site

... AI and GPU portfolio. The organization partners closely with Engineering, Cloud Platform ... software. * Proven ability to lead multiple concurrent programs while effectively managing ...

Oracle

Program Manager 4

Nashville, TN · On-site

... GPU Superclusters. * Partner with engineering, architecture, SRE, network operations, capacity ... Familiarity with network automation technologies, software-defined networking, service reliability ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

... software engineers for the deployment of machine learning models into production environments ... GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching ...

Elevance Health

Gen AI Engineer

Nashville, TN · Hybrid

... software engineers for the deployment of machine learning models into production environments ... GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching ...

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All JobsSoftware Engineer Gpu JobsWeekend Software Engineer Gpu JobsWeekend Software Engineer Gpu Jobs in Tennessee

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 Tennessee? The most popular types of Software Engineer Gpu jobs in Tennessee are:
Weekend Software Engineer Gpu jobs near you

Machine Learning Engineer at Gravity IT Resources Nashville, TN

Shell Lubricants Hub Hamburg

Nashville, TN • On-site

$110 - $150/hr

Other

Posted 2 days ago

New

Job description

Job Description

Machine Learning Engineer

Employment Type: Full-Time

Location: Nashville, TN (hybrid)

About the Role

We’re hiring a Maching Learning Engineer to design and deploy AI systems end-to-end — from data preparation and evaluation to model fine-tuning, inference, and agentic workflows. You’ll work closely with product and engineering teams to deliver reliable, cost-effective, and scalable LLM-powered solutions on AWS.

What You’ll Do
  • End-to-End GenAI Solutions: Scope problems, choose the right approach (prompt engineering, fine-tuning, agents), implement, evaluate, and deploy.
  • Data & SQL: Write efficient SQL for analytics and data prep; manage schemas and pipelines for model training and inference.
  • Model Training & Fine-Tuning: Run supervised fine-tuning (PEFT/LoRA/QLoRA), optimize prompts, and manage experiment tracking/evaluation.
  • Agentic Systems: Build agent workflows with tool use, memory, and safety/guardrails.
  • Inference & Deployment: Package services with Docker, optimize latency and cost (batching, caching, quantization), and deploy on AWS (ECS, EKS, SageMaker, Lambda with GPU acceleration).
  • MLOps & Observability: Set up CI/CD for models/prompts; maintain offline/online evaluation pipelines, monitoring, and rollback strategies.
  • Security & Compliance: Implement data governance, PHI/PII protections, and guardrails against prompt injection and unsafe outputs.
  • Cross-Functional Collaboration: Work with product managers and engineers to align GenAI capabilities with product goals; clearly document and communicate trade-offs.
  • Production Readiness: Lead conversations around scaling, monitoring, and maintaining GenAI systems in production environments.
Minimum Qualifications
  • 5+ years of Software/ML engineering experience, including 2+ years building and deploying GenAI/LLM systems.
  • MS/PhD in Computer Science, Data Science, or equivalent experience.
  • Strong SQL and Python skills with solid software engineering fundamentals.
  • Experience with agent frameworks (LangGraph, AutoGen, CrewAI) and tool-driven agents.
  • Hands‑on with deep learning (PyTorch or TensorFlow) and LLM fine‑tuning (SFT/PEFT like LoRA/QLoRA).
  • Production experience with Docker and AWS (ECS, EKS, SageMaker, Lambda, or GPU services).
  • Experience building scalable data and model pipelines for training and deployment.
  • Familiarity with prompt engineering, evaluation frameworks (LLM‑as‑judge, metrics), and offline test harnesses.
  • Understanding of security & compliance for sensitive data (e.g., PHI/PII).
  • Excellent problem‑solving, communication, and documentation skills.
Preferred Qualifications
  • Experience with inference optimization: quantization (bitsandbytes, GPTQ/AWQ), batching, caching, or vLLM.
  • Background in healthcare, including HIPAA compliance or medical data handling.
  • Experience with experiment tracking (MLflow, W&B), CI/CD for ML, and monitoring tools (Prometheus, Grafana).
  • Familiarity with major LLM APIs and open‑source models (OpenAI, Anthropic, Llama, Mistral).
Tech Stack
  • Languages: Python, SQL
  • DL/LLM: PyTorch, TensorFlow, Hugging Face, PEFT/TRL, vLLM
  • Data: Snowflake, Postgres
  • Cloud: AWS (ECS, EKS, SageMaker, Lambda)
  • MLOps: Docker, CI/CD, MLflow, or W&B
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