GPU MLOps Engineer - United States
$200k - $280kMolex
Location(s): Austin, Texas | Fremont, California | Lisle, IllinoisCompany: MolexCareer Field: Data & AnalyticsJob Number: 192105Eligible for remote: YesApply: JobThe GPU- MLOps Engineer will own the Azure platform layer end-to-end — deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing cost for our engineering AI/ML platform. Our TeamEstablished in 1938, Molex delivers comprehensive electronic solutions for various markets, including data communications, telecommunications, consumer electronics, industrial, automotive, commercial vehicle, aerospace and defense, medical, and lighting. You'll join the platform team responsible for the compute, security, and cost backbone that powers our Azure AI/ML engineering tools, partnering closely with data scientists, ML engineers, and LLM engineers to keep everything running smoothly. What You Will DoBuild and maintain CI/CD pipelines (Azure DevOps) for training, validation, versioning, and deployment of ML models. Provision and scale Azure GPU compute (ND/NC series) and container infrastructure (AKS/ACI) for training and simulation workloads. Automate retraining/redeployment workflows in Azure ML pipelines as new data becomes available. Implement access control, identity management, and secrets management (Microsoft Entra ID, Azure Key Vault) across compute, data, and model artifacts. Monitor and optimize GPU/cloud spend (Azure Cost Management) and build cost visibility dashboards in Power BI. Who You Are (Basic Qualifications)10+ years in MLOps, DevOps, or Cloud Infrastructure, with real exposure to both ML deployment and cloud infrastructure management. Strong Azure experience — GPU compute (ND/NC), Azure Kubernetes Service, containerization (Docker). Infrastructure-as-code experience (Terraform or Bicep). Solid grasp of cloud security fundamentals (IAM, network security, secrets management). Demonstrated experience with cloud cost optimization (right-sizing, autoscaling, spot/preemptible strategies). Hands-on experience with model registries and experiment tracking (Azure ML + MLflow). What Will Put You AheadExperience with GPU-heavy workloads specifically (ML training, HPC simulation) rather than general web/app infrastructure. Azure certifications (Solutions Architect Expert, Security Engineer Associate). Experience with HPC job schedulers (Slurm via Azure CycleCloud). Experience supporting engineering simulation tools. For this role, we anticipate paying $200,000 - $280,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.Hiring PhilosophyAll Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.Who We AreAs a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before. At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.Our BenefitsOur goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.Equal OpportunitiesEqual Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu).
$170k - $250k
...Eligible for remote: YesApply: JobThe ML Engineer will build physics-informed surrogate... ...data scientists, LLM engineers, and MLOps teams to keep GPU-heavy training and simulation... ...veteran status. Except where prohibited by state law, some offers of employment are conditioned...SuggestedRemote workFlexible hours$180.9k - $265.32k
...and sustainability, design and engineering, ambition and integrity. In... ...industries around the world, united by a shared commitment to excellence... ...in ROS1/2, OpenCV, and GPU acceleration. Hands-on experience... ...characteristic protected by applicable state or federal laws and...SuggestedNight shift$158.4k - $217.8k
...performance and sustainability, design and engineering, ambition and integrity. In Lucid Air... ...come from industries around the world, united by a shared commitment to excellence. By... ...Python and PyTorch.Solid understanding of state-of-the-art models and approaches in...Suggested$199k - $331k
...Machine Learning Engineer We are creating devices that enable a bi-directional interface... ...edge neural interface hardware and develop state-of-the-art neural encoders and decoders.... ...(in the form of Restricted Stock Units (RSU)) for all full-time employees. Base...SuggestedFull timeTemporary workFlexible hours$150k - $250k
...Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of... ...with teams such as Prediction, Planning, Research, and platform/engineering leads to land cross-cutting improvements with clear metrics.RequirementsM...SuggestedFull timeTemporary work$80k - $90k
...Machine Learning Engineer Fremont, California Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility... ...tailored to internal research needs Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid...Full time$150k - $220k
...Position Overview: We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance... ...expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and...Full timeWork experience placementLocal area$160k - $240k
...focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of... ..., and scalable system architecture (state management/error handling) for non-deterministic... ...processing (PySpark, SQL).Production MLOps: Hands-on experience with the full ML...Full timeWork at officeRemote workHome officeFlexible hours- Tesla is seeking a highly motivated Machine Learning Engineer to join its in‑house Cell Advanced Technology Engineering group. You will... ...and deploy end‑to‑end ML models to optimize cell manufacturing, uniting electrochemical science with modern AI across process stages....
- ...-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science...Full timeH1bRemote work
$160k - $240k
...focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of... ..., and scalable system architecture (state management/error handling) for non-deterministic... ...processing (PySpark, SQL). Production MLOps: Hands-on experience with the full ML...Work at officeRemote workHome officeFlexible hours- ...currently hiring for a Machine Learning Engineer for our premier client Pleasanton, California... ...and technologies (MS Azure) DevOps / MLOps Supervised or unsupervised learning algorithms... ...characteristic protected by federal, state or local laws. #J-18808-Ljbffr V-Soft...Currently hiringLocal area
$170k - $210k
...systems, predictive analytics, and data engineering. As AI/ML Engineering Manager, you will lead... ...frameworks; own orchestration logic, state management, and output evaluation Build durable... ...that affect AI system reliability Own MLOps infrastructure: experiment tracking,...For contractorsWork experience placement$91.6k - $195.6k
What To Expect As Tesla continues to vertically integrate our operations, Tesla's in-house Cell Advanced Technology Engineering group is looking for a highly motivated Machine Learning Engineer. This is a critical role at the intersection of electrochemical science, manufacturing...Hourly payFull timeTemporary workFlexible hours- Workday is seeking a Machine Learning Engineer for the Document Intelligence platform. You will design and develop core features for document... ...ML with NLP/LLMs, Python expertise, and a strong foundation in ML lifecycle, cloud deployment, and MLOps #J-18808-Ljbffr Jobzhr
- Workday is seeking a Machine Learning Engineer to join the ML - Document Intelligence team to drive the design and development of the core Document Intelligence Platform as a Service. You will work on building and optimizing features like document entity extraction, entity...
- Workday is seeking a Machine Learning Engineer to join the ML - Document Intelligence team, building the core platform for document parsing... ...generic document entity extraction and entity resolution using state-of-the-art AI/ML techniques. You will collaborate with software...
- Workday, Inc. is seeking a Machine Learning Engineer for the Document Intelligence team in Pleasanton, CA. You will help build the core... ...parses documents, extracts entities, and classifies data using state-of-the-art NLP and LLM methods. You will collaborate across software...
- Workday’s AI Core team builds AI-powered software that processes HR and finance data at scale. As a Machine Learning Engineer on this team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG, collaborating with engineers to deploy ML models...
$110k - $120k
...Services Job Category: Information Technology - Developer Summary: We are seeking a highly skilled and motivated Generative AI Engineer with at least two years of experience in the field of artificial intelligence. The ideal candidate should have a solid background...Full timeRelocation package$110k - $120k
A leading tech firm in California is seeking a Generative AI Engineer with a Master's degree and at least 2 years of experience in artificial intelligence. The role involves designing and optimizing AI models for various applications, including NLP and computer vision....- Workday in Pleasanton seeks a Machine Learning Engineer for the ML - Document Intelligence team to design and build the core Document Intelligence Platform as a Service, focusing on document entity extraction, entity resolution, and classification with cutting-edge AI/...
- ...Consulting Group, Inc. is currently seeking a Machine Learning Engineer for our client in Pleasanton, California. The role focuses on building... ...PyTorch, is required. Familiarity with Azure cloud, DevOps and MLOps practices will help streamline model deployment. #J-18808-...
Do you want to receive more vacancies?
Subscribe and receive similar vacancies to GPU MLOps Engineer - United States. Be the first to apply!

