Software Engineer, Infrastructure & Reliability CrewAISoftware Engineer, Infrastructure & ReliabilitySan Francisco, CABuild the tooling and automation that lets field engineers and customers run self-hosted installs themselves- Helm charts, environment config, release artifacts, pre-flight checks, and install runbooks - so engineering does fewer hands-on installs over time. Manage production observability and telemetry infrastructure: logs, metrics, traces, dashboards, Sentry/OpenTelemetry plumbing, actionable alerts, and telemetry export to customers' own monitoring systems.
Backend Engineer - Infrastructure HeyGenBackend Engineer - InfrastructureSan Francisco, CA$180,000–$240,000 / yearHeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. ML Infrastructure: Construct the ML training infrastructure to enhance our AI researchers' productivity, and inference systems to optimize the scalability and performance of our video GenAI.
Senior Telecommunications Infrastructure Design Engineer (RCDD Low Voltage) Pyramid Consulting, IncSenior Telecommunications Infrastructure Design Engineer (RCDD Low Voltage)Bay Area, CA$80–$83 / hourBy applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Key Requirements and Technology Experience: 10+ years of experience in structured cabling, low-voltage infrastructure, or telecommunications design.
DevOps / Systems Engineer CollateDevOps / Systems EngineerSan Francisco, CaliforniaThe base salary range for this role is depending on experience and level (Tier 1, San Francisco) SWE: $158-200K; Senior SWE: $188-250K; Staff SWE: $228-296K; Principal $275-325K. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
NewAutonomous Driving System Safety Lead NuroAutonomous Driving System Safety LeadMountain View, CA$213,480–$319,720 / yearWith years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Develop processes for and coordinate the tracking of safety performance indicators, as available from various Systems Engineering and Software Evaluation teams, to monitor driverless (driver-out L4) deployment.
Software Engineer, GPU Infrastructure - HPC OpenAISoftware Engineer, GPU Infrastructure - HPCSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning).
NewSenior/Staff Software Engineer, Infrastructure (Ml) NimbleSenior/Staff Software Engineer, Infrastructure (Ml)San Francisco, CA$210,000–$300,000 / yearOur founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford's AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). We will accomplish this by training robot AGI to invent and build the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by generalist superhumanoids.
Software Engineer, Data Infrastructure datologyaiSoftware Engineer, Data InfrastructureRedwood City, CA$180,000–$300,000 / yearTraining on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Senior Machine Learning Engineer - ML Training Infrastructure GMSenior Machine Learning Engineer - ML Training InfrastructureSunnyvale, CaliforniaAs a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Software Engineer, GPT Infrastructure OpenAISoftware Engineer, GPT InfrastructureSan Francisco, CaliforniaFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Collaborate with Research, Inference Engineering, Runtime and Compiler teams, Infrastructure, Security, Product, and Strategic Partnerships to onboard and optimize new compute platforms.
Principal Engineer, AI Platform & Infrastructure SpreeAIPrincipal Engineer, AI Platform & InfrastructureSan Francisco, CaliforniaWe are looking for a Principal Engineer to build the infrastructure, deployment pipelines, and observability systems that enable multimodal AI models to move from research prototypes to reliable, production-grade deployments powering real-time virtual try-on experiences for global retail partners. Experience deploying and managing production inference systems using platforms like Triton, vLLM, TensorRT-LLM, Ray Serve, KServe, Seldon, BentoML, TorchServe, or custom services.
Staff AI Systems Engineer Archer AviationStaff AI Systems EngineerSan Jose, CA$190,000–$237,000 / yearCross-Functional Collaboration: Partner closely with AI researchers and Software Engineers to productionize cutting-edge models, establish monitoring systems, and debug complex performance bottlenecks at the hardware-software interface. Cloud-Native Orchestration & Abstraction: Hands-on experience with containerization (Docker) and production-grade orchestration (Kubernetes), paired with cloud-agnostic cluster abstractors like SkyPilot to manage multi-region GPU availability.
Senior AI Systems Engineer Archer AviationSenior AI Systems EngineerSan Jose, CA$160,000–$198,000 / yearCross-Functional Collaboration: Partner closely with AI researchers and Software Engineers to productionize cutting-edge models, establish monitoring systems, and debug complex performance bottlenecks at the hardware-software interface. Cloud-Native Orchestration & Abstraction: Hands-on experience with containerization (Docker) and production-grade orchestration (Kubernetes), paired with cloud-agnostic cluster abstractors like SkyPilot to manage multi-region GPU availability.
NewSystem Software Engineer - Performance Verification Infrastructure NvidiaSystem Software Engineer - Performance Verification InfrastructureSanta Clara, CAThe base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!
Staff Software Engineer - Data Infrastructure PlaidStaff Software Engineer - Data InfrastructureSan Francisco, CaliforniaLeading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively.
Senior Software Engineer – Platform & Data Infrastructure ID.meSenior Software Engineer – Platform & Data InfrastructureMountain View, CA$190,978–$214,052 / yearEnforce Zero-Trust Security & Secrets Management: Integrate enterprise secret management tools (HashiCorp Vault, External Secrets Operator, Google Secret Manager/KMS) and enforce Workload Identity and network perimeter controls. Working closely with Platform, Security, SRE, and Product Engineering teams, you will turn complex infrastructure into self-service developer capabilities, enforce security guardrails, and ensure high availability across critical production services.
Senior Software Engineer - Platform & Data Infrastructure ID.meSenior Software Engineer - Platform & Data InfrastructureMountain View, CA$190,978–$214,052 / yearEnforce Zero-Trust Security & Secrets Management: Integrate enterprise secret management tools (HashiCorp Vault, External Secrets Operator, Google Secret Manager/KMS) and enforce Workload Identity and network perimeter controls. Working closely with Platform, Security, SRE, and Product Engineering teams, you will turn complex infrastructure into self-service developer capabilities, enforce security guardrails, and ensure high availability across critical production services.
Senior IT Systems Engineer TwitterSenior IT Systems EngineerPalo Alto, CA$148,000–$222,000 / yearBASIC QUALIFICATIONS: 8+ years of hands-on experience administering and optimizing a broad portfolio of SaaS applications in a hybrid and high-growth environment-with advanced proficiency in our core stack: Okta (including Advanced Server Access & Workflows), Google Workspace, Slack Enterprise, Atlassian, etc. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
Senior Backend Software Engineer, Cloud & Infrastructure TaaraSenior Backend Software Engineer, Cloud & InfrastructureSunnyvale, CaliforniaData Systems: Experience with relational databases, NoSQL, timeseries databases (e.g., Prometheus), and message brokers (e.g., Pub/Sub, Kafka). Drive Observability: Develop the tools and dashboards that allow our Network Operations Center (NOC) to troubleshoot complex optical links instantly.
Staff Software Engineer (Cloud Infrastructure) CrusoeStaff Software Engineer (Cloud Infrastructure)San Francisco, California$215,000–$260,000 / yearWe're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. The ideal candidate will be hands-on with GPU rack-level troubleshooting and work closely with data center operations, engineering, and vendors to support cutting-edge infrastructure featuring the latest NVIDIA and AMD GPUs.