218 deployment engineer jobs at 78 companies in Marina, CA
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Deployment Engineer (TeleOperations)
San Jose, California, United States
$125k-$185k/yrFieldFull Time
Figure: Develops autonomous humanoid robots for commercial and residential tasks.
3+ YOE3+ years in automation/robotics integration or deployment, engineering degree, hands-on electro-mechanical skills, stakeholder/customer experience, familiarity with Confluence and Jira, willingness to travel to collection sites.
Strata Robotics: Developing autonomous robotic platforms for heavy outdoor construction.
3+ YOE3+ years construction field experience, ability to write/refine scopes, existing industry network, familiarity with construction workflows, comfort with ambiguity, willingness to travel extensively.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years software engineering/solutions experience; hands-on coding, system design, AI/GenAI, Python and SQL proficiency; customer-facing consulting and strong communication skills.
3+ YOEBachelor's in engineering/CS or equivalent, 3+ years building proofs-of-concept with JavaScript/Python/SQL, system design or code reading in Java/C++/Python, strong communication and stakeholder skills.
JavaScript, Python, SQL, Java, C++, Google Ads, Google Marketing Platform, SA360, DV360, GA4, Google Cloud
Senior Network Deployment Engineer, PoP Management - DGX Cloud
Santa Clara or Texas or Illinois or Washington or California
$168k-$334k/yrOnsiteFull Time
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOE8+ years experience in network deployment, transport technologies (DWDM, Ethernet, OTN, MPLS), datacenter and PoP sourcing/procurement, vendor management, contract negotiation, and global project execution.
Senior Network Deployment Engineer, PoP Management - DGX Cloud
Santa Clara or Texas or Illinois or Washington or California
$168k-$334k/yrHybridFull Time
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOEBachelor's or equivalent,8+ years experience,knowledge of DWDM/Ethernet/OTN/MPLS,datacenter rack and power expertise,PO P sourcing/procurement,contract negotiation,RFP and carrier order experience.
XPengNew York Stock Exchange: XPEV: Designs and manufactures smart electric vehicles and autonomous technology.
0+ YOEIntern to support optimization and deployment of multimodal models onto vehicle-grade compute; strong CS/EE/ robotics background; hands-on C++/Python; DL frameworks; model optimization and edge deployment.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
12+ YOE12+ years in network engineering; hyperscale data center experience; leadership; Arista/Junos/NVIDIA/Mellanox; Python/Ansible; IaC/CI/CD; BGP/EVPN-VXLAN; Bachelor's degree in a technical field.
Hiring.Cafe: An AI-powered job search engine and aggregator.
Experience deploying and optimizing deep learning models in production, multi-GPU inference, profiling/benchmarking model performance, inference optimization techniques, and cloud/distributed systems familiarity.
Etched: Designs specialized AI chips optimized for transformer architectures.
5+ YOE5+ years data center engineering experience with high-density compute deployments, structured cabling, power architecture, DCIM tooling, reading electrical diagrams, vendor management, and hands-on hardware deployment.
E-Space: Builds sustainable LEO satellite networks for global IoT connectivity
BS/MS/PhD in aerospace or mechanical engineering, experience with deployable-structure testing, gravity-offload rigs, force/torque measurement, photogrammetry, and test-to-flight correlation.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
5+ YOEBachelor's in engineering/CS/data science; 5+ years (or 2+ with a Master's) in application engineering, algorithm development, or similar; experience in industrial/manufacturing environments; model lifecycle and production deployment; Python/R/C# and AI/ML familiarity.
John DeereNYSE: DE: Manufactures agricultural, construction, and forestry machinery and equipment.
3+ YOE3+ years software engineering with modern C++, applied ML for perception, experience with sensor data pipelines, model training/deployment, and system-level debugging.
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
2+ YOEBachelor's in engineering/computer science/data science required; 5+ years relevant experience (or 2+ with a Master’s). Strong analytics, AI/ML familiarity, Python/R/C# programming, model lifecycle and production deployment experience.
SupermicroNASDAQ: SMCI: Designs and manufactures high-performance server and storage solutions.
1+ YOEBachelor's in Aerospace/Thermal/Mechanical Engineering, 1+ year server/PC industry thermal/mechanical experience, knowledge of thermal management and rack/cluster liquid cooling, strong problem-solving and communication, able to travel for on-site deployments.
Micas Networks: Provides open networking switches and software for data centers.
3+ YOEBachelor's in a technical field, 3+ years in technical support or deployment engineering, strong Ethernet switching and data center networking knowledge, hands-on troubleshooting, and customer engagement skills.
MaxInsights: Provides robot data collection for physical AI development.
Experience building production ML training and deployment systems, strong software engineering and infra fundamentals, PyTorch experience, HPC/GPU knowledge, and strong communication and product sense.
Sonatus: Develops software platforms for AI-enabled software-defined vehicles.
10+ YOE10+ years ML engineering with 3+ years in Edge AI/embedded systems, Bachelor’s in CS/EE/Software Engineering, expert Python, C++14/17, PyTorch/TensorFlow, edge deployment and model optimization experience.
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
8+ YOE8+ years applied ML/AI engineering; 3+ years delivering production AI systems; MS in CS/Robotics/EE or related; PhD preferred; strong multimodal/3D vision and deployable inference pipelines; strong Python and ML library skills.