364 ai systems engineer jobs at 99 companies in Manteca, CA
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Staff AI Systems Engineer
San Jose, California, United States
$173k-$216k/yrOnsiteFull Time
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
5+ YOE5+ years in AI/ML systems or HPC, BS/MS/PhD in CS or related, experience with multi-cloud (AWS, Nebius AI Cloud), Docker, Kubernetes, MLflow, SkyPilot, vLLM/SGLang, SQL/NoSQL/Parquet.
San Jose or San Francisco or Seattle or New York City or Chicago or California
$190k-$361k/yrOnsiteFull Time
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
10+ YOE10+ years professional software engineering with deep C++ expertise, production integration of AI/LLMs, cross‑platform systems design, reliability and observability, architecture leadership, and strong communication skills.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Strong C/C++ and Python development experience, parallel programming, ML inference, computer architecture, accelerator programming, Linux tools, and AI framework or compiler familiarity; master's or PhD preferred.
Lam ResearchNASDAQ: LRCX: Designs and manufactures wafer fabrication equipment for the semiconductor industry.
3+ YOELead system definition and cross-functional integration for complex semiconductor equipment; INCOSE-aligned systems engineering, SEMP, requirements, architecture, verification planning; proficiency with Python, VS Code, and AI-assisted tools.
Python, VS Code, GitHub Copilot, LangChain, LangGraph, foundation models
CognizantNasdaq: CTSH: Provides IT consulting and digital business process services.
Bachelor's degree and strong experience designing AI solutions with RAG, vector databases, semantic search, LLMs, document intelligence, scalable AI systems, and cloud-based machine learning.
Retrieval-Augmented Generation (RAG), large language models (LLMs), vector databases, Microsoft Azure, Azure AI services, Azure OpenAI, Azure Machine Learning, HIPAA, ICD
San Francisco or McLean or Cambridge or San Jose or New York City
$294k-$335k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's or Master's in CS/Engineering/AI with 6–8+ years building and deploying scalable AI/ML systems; strong programming in Python/Go/Scala/Java and experience with agentic frameworks, cloud platforms, and LLMs.
NetAppNasdaq: NTAP: Provides intelligent data infrastructure for hybrid cloud environments.
15+ YOEExpert in AI inferencing and distributed systems at scale with 15+ years experience; hands-on with inference engines, model optimization, GPU/TPU orchestration, Kubernetes, RDMA/DPDK; strong architecture, communication, and mentorship skills.
Infineon TechnologiesFrankfurt Stock Exchange: IFX: Designs and manufactures semiconductors for power and IoT systems.
10+ YOEPhD in Electrical Engineering (Power Electronics), 10+ years in the semiconductor industry with high-volume power product launches; expertise in DC/DC topologies, IBCs, hot-swap controllers, GaN/SiC, HVDC/VPD, schematic/PCB design, system bring-up, and customer-facing technical engagement.
McLean or San Francisco or San Jose or Cambridge or New York City
$269k-$335k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOEBachelor's plus 8 years or master's plus 6 years in AI/ML development; 8 years programming in Python, Go, Scala, or Java; experience with scalable cloud AI systems and technical leadership.
8+ YOEM.S. or higher in engineering plus 8+ years in multi-disciplinary environments; experience with spacecraft systems, payload integration, V&V and AI&T workflows; ability to drive product-line engineering and align senior stakeholders.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Lead definition of sensing system concepts for next-generation AR/MR devices, contribute to AI hardware architecture, design, prototype, analyze, and launch products.
KlearNow.AI: AI platform for digital customs brokerage and logistics management.
4+ YOE4+ years software engineering and infrastructure experience, production LLM/agent experience, Python and TypeScript proficiency, Docker/Kubernetes, cloud/distributed systems, ability to work hybrid in San Jose and authorized to work in the U.S.
Mountain View or St. Louis or Philadelphia or Houston or Bentonville or Columbus or Overland Park or Scottsdale or Cleveland or Detroit or Morristown or Raleigh or Des Moines or Oklahoma City or Miami or Minneapolis or Chicago or San Francisco or Cincinnati or New York or Dallas or San Diego or Denver or Albany or Hartford or Sacramento or Arlington or Redmond or Los Angeles or Pittsburgh or St. Petersburg or Milwaukee or Beaverton or Carmel or Walnut Creek or Seattle or Boston or Charlotte or Kirkland or Atlanta or Austin or Nashville
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOE3+ MgmtRequires 5+ years in engineering and technical customer-facing roles, 3+ years in AI engineering and team management, 1+ year building Claude/Codex AI systems, and a bachelor's degree or equivalent.
Claude, Codex, Antigravity, Gemini, Python, Java, C, Go, Model Context Protocol (MCP), CI/CD, Electronic Medical Records (EMR)
Sr. Staff AI Engineer - On-Prem AI Infrastructure & Agentic Systems
San Jose, California, United States
$140k-$165k/yrOnsiteFull Time
SK hynix Memory Solutions AmericaKorea Exchange: 000660: Develops semiconductor controllers and firmware for enterprise data storage.
2+ YOE2+ years in AI/ML engineering with on-prem/private-cloud deployment, experience building agentic AI and RAG pipelines, model fine-tuning (LoRA/QLoRA), Python/Linux/Docker/Kubernetes proficiency, and familiarity with vector DBs and AI serving frameworks.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
5+ YOEDegree in CS/CE or related, 5+ years systems/DevOps/ML infrastructure experience, hands-on AI/GPU cluster and Linux/Kubernetes expertise, Python/Bash scripting, and knowledge of storage, networking, and security.
Distinguished Engineer - AI (San Jose, CA, US, 95128)
San Jose, California, United States
$266k-$396k/yrOnsiteFull Time
NetAppNASDAQ: NTAP: Sells enterprise data storage and cloud management software.
15+ YOE15+ years building low-latency, fault-tolerant distributed systems and AI/ML inference platforms; expertise with inference engines, model optimization, storage for AI, RDMA/DPDK, and Kubernetes-based orchestration.
Lam ResearchNASDAQ: LRCX: Manufacturing equipment used to fabricate advanced semiconductor microchips.
3+ YOELead systems definition and cross-functional integration for complex semiconductor equipment; author SEMP and system artifacts; apply INCOSE-aligned practices; proficiency with Python, VS Code, and AI-assisted engineering tools; 8/6/3 years experience depending on degree.
Python, VS Code, GitHub Copilot, LangChain, LangGraph, foundation models, INCOSE, ISO/IEC/IEEE 15288, ISO/IEC/IEEE 29148
Software Engineer/Researcher, AI-Native Database Systems
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
2+ YOEBachelor's or higher in CS or related, 2+ years in database/distributed/ML systems, strong C++/Rust/Go coding and system design, expertise in storage, vector retrieval, or AI infra.
Portland or Boston or Chicago or Dallas or San Jose or Seattle
$185k-$217k/yrRemoteFull Time
WEXNYSE: WEX: Provides global payment processing and business information management services.
8+ YOE8+ years building production ML/AI systems; BS in CS or related (MS/PhD preferred); strong Python/Java/Go/C# skills; LLM, RAG, MLOps, Kubernetes, and cloud experience; excellent communication.
Renesas ElectronicsTokyo Stock Exchange: 6723: Designs and manufactures semiconductors for automotive and industrial systems.
MS/PhD or equivalent experience; deep experience building AI compilers, accelerator backends or graph optimization frameworks; expertise with MLIR, LLVM, TVM-style systems; strong C/C++ and Python skills; NPU/performance optimization experience.