Jobs in the United States

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Added 3 hours ago
Senior AI Engineer
Octus
NEW YORK, NY
Added 16 hours ago
Senior HPC AI Cluster Engineer
NVIDIA Corporation
North District, IL
You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved…
Added 1 day ago
Senior Power and Thermal Architect
NVIDIA USA
CA
…headroom! We are the Silicon Co-Design Group (SCG). We are hiring a Senior Architect to scout the research and industry landscape, identify emerging system-level co-design ideas in power…
Added 1 day ago
Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)
Expedia, Inc.
WA
We are looking for a hands-on Senior Machine Learning Scientist who thrives on building end-to-end systems, from backend architecture to user-facing interfaces, including agentic UX/UI,…
Added 1 day ago
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Principal Software Engineer Manager (AI Infrastructure) - North America Software Center
TSMC
Vancouver, WA
- $166,800 to $223,050 USD / year
In this dual-impact leadership role, you will combine deep technical expertise in distributed systems and AI platforms with strong people leadership. You will architect scalable,…
Added 2 days ago
Technical Recruiter
Unconventional, Inc.
Remote, United States
…well-capitalized team on a mission to break free from traditional GPU constraints and power the future of…
Added 3 days ago
RH
Senior Machine Learning Engineer
Red Hat, LLC
United States
- $186,160 to $287,410 USD / year
…profiling on NVIDIA GPUs using Nsight or similar tools; and GPU memory architecture and memory optimization for deep learning…
Added 3 days ago
Principal Engineer - AI Systems & Performance Lab
SanDisk
Milpitas, CA
Deep hands‑on experience with AI workloads (training and/or inference), including modern deep learning models and frameworks (e.g., PyTorch, TensorFlow, JAX, or equivalent).
Added 3 days ago
AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology
Apple
Santa Clara, CA
4+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models
Added 3 days ago
Senior Infrastructure Engineer
Level
Austin, TX
As an Senior Infrastructure Engineer on the Platform team, you will architect, build, and operate the cloud infrastructure and developer platform that every Level product runs on. You will…
Added 3 days ago
Principal Distributed Systems Software Engineer, Collectives
Advanced Micro Devices, Inc
San Jose, CA
…advanced technical and analytical skills in Linux environments and deep C++ expertise. The ideal candidate will excel in providing technical leadership, guiding teams, and driving projects…
Added 3 days ago
AI Engineer I, II, III or Senior
Tri-State Generation and Transmission Association, Inc.
Westminster, CO
The Senior AI Engineer leads AI engineering at Tri-State, guiding multiple engineering teams and projects from business opportunity through production delivery. A domain expert in…
Added 3 days ago
Senior HR Business Partner, Hardware
NVIDIA USA
CA
…AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done…
Added 4 days ago
Staff Machine Learning Operations Engineer - Computer Vision
ATI
Woburn, MA
Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing,…
Added 4 days ago
Senior Forward Deployed Engineer (Model Customization and Optimization)
Amazon Web Services, Inc.
Boston, MA · Arlington, VA · Seattle, WA · New York, NY · East Palo Alto, CA
Senior FDEs work on the hardest problems where models meet systems: building domain foundation models, post-training frontier-scale open-weight models with reinforcement learning, and…
Added 4 days ago
AI & Machine Learning Engineering Consultant - Databricks - Senior - Consulting - Location OPEN
EY
Alpharetta, GA · Fort Worth, TX · Southfield, MI · Las Vegas, NV · Orlando, FL · San Diego, CA · Boston, MA · San Mateo, CA · Washington, DC · Arlington, VA · Nashville, TN · Secaucus, NJ · Palo Alto, CA · Detroit, MI · Milwaukee, WI · Raleigh, NC · Westlake Village, CA · Austin, TX · Albany, NY · Akron, OH · Tucson, AZ · Phoenix, AZ · Hartford, CT · Chicago, IL · Baltimore, MD · Pittsburgh, PA · Portland, OR · Cincinnati, OH · Jericho, NY · Seattle, WA · Tampa, FL · Richmond, VA · San Francisco, CA · New Brunswick, NJ · San Jose, CA · Sacramento, CA · Birmingham, AL · Baton Rouge, LA · Jacksonville, FL · Memphis, TN · Huntsville, AL · McLean, VA · Oklahoma City, OK · Grand Rapids, MI · Houston, TX · Stamford, CT · Toledo, OH · Atlanta, GA · Chattanooga, TN · Minneapolis, MN · St. Louis, MO · Tallahassee, FL · Charlotte, NC · Tulsa, OK · Cleveland, OH · Grandview Heights, OH · Salt Lake City, UT · Des Moines, IA · Hoboken, NJ · Rogers, AR · Greenville, SC · Kansas City, MO · Denver, CO · Chantilly, VA · Iselin, NJ · Louisville, KY · Rochester, NY · Dallas, TX · Providence, RI · Miami, FL · Los Angeles, CA · Indianapolis, IN · San Antonio, TX · Charleston, WV · Irvine, CA · Philadelphia, PA · Wichita, KS · Boca Raton, FL · Buffalo, NY · New Orleans, LA · New York, NY
As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing…
Added 4 days ago
Senior Solutions Architect - Data Center Infrastructure
NVIDIA USA
Remote, United States
…largest customers? NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect to join our team, focused on the technical execution across engineering, product, and sales teams…
Added 4 days ago
Senior Solutions Architect - Data Center Infrastructure
NVIDIA USA
Remote, United States
…largest customers? NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect to join our team, focused on the technical execution across engineering, product, and sales teams…
Added 4 days ago
S
Staff Machine Learning Engineer
SimpliSafe
Boston, MA
- $183,500 to $244,600 USD / year
● Build and evolve distributed training infrastructure for classical ML, deep learning, and LLM fine-tuning, including efficient GPU scheduling and utilization.
Added 5 days ago
CAE Senior Principal Software Architect (Design)
Divergent
Torrance, CA
The Senior Principal Software Architect establishes and executes architectural strategies, leads major technical initiatives, and influences the development of scalable application…
Added 5 days ago
Data Scientist, Applied AI/ML
CrowdStrike
Washington, DC
Advanced knowledge of Python, Deep Learning frameworks, and cloud technologies
Added 5 days ago
Senior Software Development Engineer in Test
Runpod
Remote, United States
…large-scale distributed systems. The ideal candidate will have a deep understanding of cloud-native architectures, automation-first testing strategies, and expertise in validating complex,…
Added 6 days ago
Principal Software Engineer, Data Processing OSS
NetApp
San Jose, CA
…query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for specialists to join our engineering team and shape the future of…
Added 9 days ago
Sr. Technologist – AI Systems & Performance Lab
SanDisk
Milpitas, CA
Deep hands‑on experience with AI workloads (training and/or inference), including modern deep learning models and frameworks (e.g., PyTorch, TensorFlow, JAX, or equivalent).
Added 9 days ago
Distinguished Engineer, AI Security Systems (Remote)
CrowdStrike, Inc.
Remote, United States
As one of the Lab’s most senior technical leaders, you will architect systems that turn frontier AI into autonomous, trustworthy cyber defense - from the sensor to the cloud. You will write…

Runpod

Senior Software Development Engineer in Test

Remote, United States

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Job details

Experience: 10+ Years of experience in QA Automation, SDET, Software engineering or a related technical field
Posting language: English
Posted: Oct 26, 2026

Original job description

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.

We are seeking a highly skilled and experienced Software Development Engineer in Test (SDET) to join our team. This role is pivotal in ensuring the reliability, scalability, and performance of our large-scale distributed systems. The ideal candidate will have a deep understanding of cloud-native architectures, automation-first testing strategies, and expertise in validating complex, high-performance infrastructure. Key Aspects of Our Testing Approach:

Automation-Driven Quality: We prioritize automated testing strategies to validate system performance, scalability, and reliability, reducing manual effort and increasing test coverage.
Resilience Testing at Scale: Our SDETs proactively design tests to assess fault tolerance, high availability, and self-healing capabilities across globally distributed environments.
Performance and Load Testing: We build and execute sophisticated test strategies to ensure our infrastructure scales efficiently under extreme workloads.
Shift-Left Testing: We integrate testing early into the development lifecycle, ensuring quality and reliability from the inception of new features.
Data-Driven Decision Making: We leverage metrics, analytics, and real-world traffic patterns to continuously refine our testing methodologies and improve system reliability.

As one of the first engineers on Runpod’s QA team, you’ll have a unique opportunity to shape our testing strategy, automation frameworks, and quality standards as we scale. You’ll work across our entire platform, including GPU Pods, Serverless endpoints, batch jobs, Instant Clusters, storage, and billing systems. Our infrastructure spans GraphQL APIs, Go services running on thousands of GPU hosts worldwide, and complex event-driven pipelines.

Quality is embedded directly into our engineering process, not treated as a final checkpoint. You’ll collaborate closely with Engineering and SRE teams to review code, build integration and end-to-end tests, and identify issues before they reach production. We take a data-driven approach to quality, prioritizing measurable results, actionable insights, and continuous improvement.

As an SDET, you’ll play a critical role in building scalable testing frameworks, validating complex distributed systems, stress-testing cloud infrastructure, and driving reliable deployments through automation. This is a high-impact opportunity to help establish the foundation of QA at Runpod while directly influencing the reliability, performance, and scalability of our growing platform.

Responsibilities:

Design, develop, and maintain robust test automation frameworks for cloud-scale distributed systems.
Architect performance, load, and stress tests to validate system resilience under high traffic conditions.
Build fault-injection and chaos engineering strategies to assess the reliability of distributed services.
Develop and execute end-to-end integration, API, and system-level tests across microservices-based architectures.
Implement continuous testing pipelines within CI/CD workflows to accelerate deployment cycles.
Collaborate closely with development, SRE, and infrastructure teams to ensure quality best practices are embedded within the SDLC.
Analyze system logs, telemetry data, and observability metrics to identify and mitigate potential failures before they impact production.
Drive automation of security testing, API contract validation, and infrastructure testing.
Participate in on-call rotations to assist in diagnosing critical production issues related to system reliability and performance.

Requirements:

10+ Years of experience in QA Automation, SDET, Software engineering or a related technical field
Expertise in testing cloud-scale distributed systems with a strong focus on reliability, performance, and scalability.
Strong programming skills in at least one language, preferably Python, Golang, or Typescript.
Hands-on experience in building test automation frameworks for complex microservices architectures.
Deep understanding of CI/CD pipelines, infrastructure as code (IaC), and automated deployment strategies.
Extensive experience with load testing tools (e.g., Locust, k6, JMeter) and observability platforms (e.g., Prometheus, Grafana, OpenTelemetry, Datadog).
Proven experience in testing containerized applications and Kubernetes-based environments.
Strong expertise in chaos engineering and fault injection frameworks (e.g., Chaos Mesh, Gremlin, LitmusChaos).
Knowledge of distributed tracing and debugging in cloud-native environments.
Experience working with message queues, databases, and event-driven
architectures (Kafka, RabbitMQ, Redis, etc.)
Successful completion of a background check

Preferred:

Bachelor's degree in Computer Science, Engineering, or a related field.
Experience with multi-region cloud deployments in AWS, GCP, or Azure.
Familiarity with security testing and compliance frameworks.
Background in managing fleets of GPU/AI compute resources.
Strong analytical and problem-solving skills with a passion for improving system quality at scale.

What You’ll Receive:

The competitive base pay for this position ranges from ($175,000 - $200,000). This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location
Meaningful equity in a fast-growing company- everyone on the team receives stock options - your impact drives our growth, and you share in the upside.
Generous medical, dental & vision plans
Flexible PTO- take the time you need to recharge
Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
Join a passionate team on the cutting edge of AI infrastructure - where culture, learning, and ownership are at the heart of how we scale.
$1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.

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More about this job

Skills

Software development
Test automation
Decision making
GraphQL
Go
CI/CD
Python
Microservices
Infrastructure as code
Apache JMeter
Prometheus
Grafana
Datadog
Kubernetes
Debugging
Apache Kafka
RabbitMQ
Redis
Computer science
AWS
Google Cloud
Microsoft Azure
Regulatory compliance
Problem solving
Office equipment

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