108 ml systems engineer jobs at 47 companies in Kyle, TX
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Sunnyvale or Austin or Detroit or Warren or Milford or Mountain View or United States
$296k-$424k/yrHybridFull Time
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
MS or PhD in CS/Robotics/ML or related; experience leading technical teams delivering production ML systems; deep expertise in robotics planning/control, imitation or reinforcement learning, generative models, and large-scale ML; strong software engineering skills in Python and C++.
Richardson or Santa Clara or Austin or Dallas or San Jose
$106k-$184k/yrOnsiteFull Time
GlobalFoundriesNASDAQ: GFS: Manufacturer of semiconductors and provider of wafer fabrication services.
5+ YOEBS/MS in EE/CE/CS (preferred), 5+ years in systems engineering/hardware architecture/ML systems or performance engineering, deep CPU/SoC expertise, AI/ML edge acceleration experience, familiarity with MLIR/IREE/TVM/TFLite, English fluency, US work authorization, up to 10% travel, 100% in-office.
GlobalFoundriesNASDAQ: GFS: Semiconductor foundry providing chip design and fabrication services.
5+ YOEBS (required) or MS (preferred) in EE/CE/CS, 5+ years in systems engineering/hardware architecture/ML systems or performance engineering, deep CPU/SoC expertise, MLIR/IREE/TVM/TFLite familiarity, strong cross-functional communication; US work authorization required.
Filmore: A building AI and data systems for the construction equipment industry.
5+ YOEShipped production-level AI/ML systems; strong Python, SQL, and cloud experience; work with LLMs, model routing, and data pipelines; capable of building scalable, observable backends.
Trunk Tools: AI-powered productivity platform for construction field operations.
7+ YOE7+ years of experience building production ML/AI systems; leadership on complex projects; experience with agentic systems, knowledge graphs, and document processing pipelines; strong Python/Go skills; production systems expertise.
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
10+ YOE5+ MgmtLead the design and development of a state-of-the-art inference platform; 10+ years in distributed systems; ML serving; leadership experience.
Systems Development Engineer (AWS Generative AI & ML Servers), AWS HW Engineering
Austin or Seattle or Cupertino
OnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
2+ YOE2+ years non-internship software dev; 1+ years designing/architecting scalable systems; 7+ years admin in networking/storage/OS; systems engineering knowledge; proficient in C++, C#, Java, Python, Golang, PowerShell, Ruby.
Seattle or Nashville or Santa Clara or Austin or United States
OnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
6+ YOE6+ years software engineering experience; degree in CS/AI/Engineering or equivalent; deep distributed systems and AI/ML platform experience; strong Python, Kubernetes, Docker skills; experience with LLMs, orchestration frameworks, SLIs/SLOs, and operational readiness.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience building distributed systems and microservices; proficiency with Java, Spring Boot, Oracle, MongoDB, AWS, and AI/ML or generative AI technologies; strong problem solving and communication skills.
Java, Spring Boot, Oracle, MongoDB, AWS, AI/ML, Generative AI, Blockchain
QualcommNASDAQ: QCOM: Designs and manufactures semiconductors and wireless telecommunications products.
3+ YOEDegree in CS/Engineering/Info Systems plus 2–4+ years engineering experience; proficiency in C++ and Python, ML frameworks (PyTorch, ONNX), cross-platform development, git, strong communication and systems skills.
PyTorch, ONNX, Lite RT, ONNX Runtime (ORT), Qualcomm AI Engine Direct SDK (QAIRT), Qualcomm AI Hub Workbench, C++, Python, CMake, Android, Linux, Windows, git
Arlington or Nashville or Racine or Tempe or Austin or Orlando or Fort Worth or Naples
OnsiteFull Time
CliftonLarsonAllen: Professional services firm providing audit, tax, and consulting services.
6+ YOE6 years relevant experience, Bachelor's degree required, experience in MLOps/DevOps and enterprise AI platforms, supervisory experience preferred, advanced Python and multi-language platform experience, cloud architecture and AI system observability expertise.
StocksToTrade: A stock trading platform providing real-time data and education.
Build and backtest TradingView (Pine Script) indicators, apply AI/LLM tooling, integrate data APIs, and translate trader methods into testable signals; Python and ML experience preferred.
TradingView, Pine Script, Python, ChatGPT, Claude, Copilot, Polygon, Alpaca, Quandl, Large language model (LLM), StocksToTrade
PayPalNASDAQ: PYPL: Global digital payments platform for consumers and merchants.
4+ YOEMaster's in CS/Software Engineering +4 years (or Bachelor's +6 years). Experience with BI, data warehousing, large-scale platforms, PERL, Python, Core Java, UNIX, PySpark, Oracle, MS SQL Server, GCP, SAP, and AI/ML frameworks. Leadership and program management experience.
CloudflareNYSE: NET: Provides security and performance services for internet properties.
3+ YOE3+ years ML engineering experience building production ML platforms, strong Python, experience with LLMs/Generative AI, platform and distributed systems design, mentoring, and advanced degree in a quantitative field.
Senior Director Developer Platform and Experiences
United States or Santa Clara or San Francisco or Los Angeles or Austin or Washington or New York City or Kirkland or Seattle or California or Hawaii or Illinois or Massachusetts or New Hampshire or Oregon or Virginia or Washington or Alaska or Mississippi or North Dakota or Virgin Islands, U.S.
$183k-$396k/yrRemoteFull Time
GoDaddyNYSE: GDDY: Provides domain registration, web hosting, and website building tools.
10+ YOE10+ Mgmt10+ years leading large-scale engineering and platform teams; deep technical expertise in developer platforms, cloud-native systems, SDLC and CI/CD; experience with AI/ML and developer tooling; hands-on coding and transformation experience.
Staff Software Engineer , Anywhere Cloud - AI Systems & Runtimes
Austin or United States
HybridFull Time
Cloudera: Provides hybrid data platforms for enterprise analytics and AI.
6+ YOELead architecture and delivery of a cloud-native AI platform; strong Python and Go/Rust; Kubernetes; AI model deployment; 6+ years software engineering; 2+ years AI/ML systems.
AmphenolNYSE: APH: Designs and manufactures electrical connectors and interconnect systems.
8+ YOE8+ years software engineering experience, BS in CS/CE (MS preferred), experience designing large data platforms, APIs, databases, pipelines, EM/ML workflows, and technical leadership/mentoring skills.
AmphenolNYSE: APH: Manufactures electronic and fiber optic connectors and interconnect systems.
8+ YOEBS in CS/CE required (MS preferred); 8+ years software engineering experience with large-scale data platforms, databases, pipelines, APIs, analytics/AI/ML workflows, technical leadership, and mentoring.
webAI: Secure on-device AI infrastructure for distributed enterprise applications
5+ YOE5+ years in software/field/deployment engineering with experience deploying ML/AI systems, scripting with Python or Bash, debugging data pipelines and model inference, strong communication, and customer-facing experience; 25% travel.