Santa Clara, California, United States · Hybrid
$160k–$200k/yr
LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a Staff Engineer to design and ship the production multi-agent systems at the core of LeanData’s new pla…
Skills: Python, LLM Orchestration, Multi-Agent Systems, RAG, Distributed Systems
Santa Clara, California, United States · On-site
$232k–$368k/yr
The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Rob…
Skills: Post-Silicon Bring-up, System Integration, Technical Leadership, DFT, Computer Architecture
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: ALD Coating Technology, Materials Engineering, Hardware Characterization, Surface Chemistry, Failure Analysis
Santa Clara, California, United States · Remote OK
$111k–$167k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Software Engineering General Summary: ** This position is not eligible for Qualcomm immigration sponsorship. ** Open to Candidates in Sa…
Skills: SystemC TLM, QEMU, Modern C++, ARM Architecture, Firmware Development
Santa Clara, California, United States · Hybrid
$168k–$311k/yr
Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphic company, we have evolved into a global leader in art…
Skills: System Architecture, Semiconductor Bringup, Digital Design, Computer Architecture, Power Management
Santa Clara, California, United States · Hybrid
$184k–$357k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, driven by great technology and amazing people. We’re now tapping into the unlimited potential of AI to define t…
Skills: Kubernetes, Distributed Systems, Systems Performance, Golang, Python
Santa Clara, California, United States · On-site
$100k–$201k/yr
We are looking for a Senior Memory Planner, located at our Corporate Headquarters in Santa Clara, CA. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform th…
Skills: Memory Planning, Supply Chain Management, SAP, Anaplan, Excel
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Process Development, Optical Assembly, Opto-mechanical Integration, Data Analysis, Python
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Software Testing, Automation Frameworks, Quality Engineering, AI/ML, Data Analytics
Santa Clara, California, United States · On-site
$66k–$132k/yr
Leads complex, data center hardware support services to ensure resilience, reliability, and availability at scale. Designs, governs, and signs off on advanced change activities and site augmentations, driving standardiza…
Skills: Data Center Hardware Support, SOP/MOP Standardization, Incident Triage, Root Cause Analysis, Hardware Break-fix
Santa Clara, California, United States · On-site
$66k–$132k/yr
Leads complex, data center hardware support services to ensure resilience, reliability, and availability at scale. Designs, governs, and signs off on advanced change activities and site augmentations, driving standardiza…
Skills: Data Center Hardware Support, Hardware Break-fix, Racking And Stacking, SOP/MOP Standardization, Root Cause Analysis
Santa Clara, California, United States · Hybrid
$150k–$190k/yr
Thanks for your interest in Oklo! We are searching for an Integration Engineer to join our team. Position Description Oklo is transforming the future of energy, and we’re looking for a senior Integration Engineer to join…
Skills: Systems Engineering, Hardware Integration, Interface Management, Verification and Validation, Risk Management
Santa Clara, California, United States · On-site
$215k–$364k/yr
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and…
Skills: Computer Vision, Machine Learning, Object Detection, PyTorch, TensorFlow
Santa Clara, California, United States · Remote OK
$167k–$291k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Integration Security, AI Gateway Security, OAuth 2.1, mTLS, Identity & Access Management
Santa Clara, California, United States · Remote OK
$188k–$220k/yr
Job Duties: Support customer integration of our Audio Weaver platform via engineer-to-engineer interactions on-site, by phone, and in our online forum. Integrate Audio Weaver onto complex System-on-Chip with stacks of so…
Skills: C, C++, Matlab, Python, Embedded Software Development
Santa Clara, California, United States · On-site
$150k–$230k/yr
Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We …
Skills: Python, Test Automation, Optical Networking, Linux, CMIS
Santa Clara, California, United States · On-site
$150k–$230k/yr
Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We …
Skills: Python, Test Automation, Optical Networking, Linux, CMIS
Santa Clara, California, United States · On-site
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in …
Skills: Application Engineering, System Debugging, Electrical Validation, Signal Integrity, Server Architecture
Santa Clara, California, United States · On-site
$23/hr–$29/hr
Company Description Rexel USA is one of the largest distributors of electrical products, data communication, wireless communication and related supplies in the United States. Rexel USA operates its electrical distributio…
Skills: Electromechanical Assembly, Electrical Testing, Troubleshooting, Quality Control, Reading Engineering Drawings
Santa Clara, California, United States · On-site
$180k–$270k/yr
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type…
Skills: CI Systems, Developer Tooling, Test Infrastructure, Analytics Platforms, Technical Design
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Design and implement production-grade multi-agent systems, focusing on orchestration, memory, and safe write-back paths to enterprise data. Establish evaluation rubrics and regression tests to ensure the reliability and performance of autonomous agents at scale.
Requires 4+ years of production system experience, including 2+ years shipping LLM-powered or agentic systems. Proficiency in Python and hands-on experience with agent frameworks, RAG, and distributed systems engineering is essential.
We are looking for a Staff Engineer to design and ship the production multi-agent systems at the core of LeanData’s new platform of autonomous agents for go-to-market teams.
This is a Staff-level individual-contributor role with founding-level ownership. You own the orchestration, tool-integration, memory, and coordination layers that let agents reason over go-to-market data and act reliably at enterprise scale — including the evaluations that prove they work and the path that safely writes their decisions back to a customer’s live data systems.
This role reports to the SVP of Engineering and is based in our Santa Clara, CA office. You are required to be in office Mondays and Wednesdays each week.
Build and ship production multi-agent systems end to end: agent control loops and planning, the orchestration graphs and tools they call, and the coordination, handoffs, state, and durability across agents
Build the safe write-back path that applies agent decisions to a customer’s live systems without corrupting data
Evaluate everything you ship: build the eval cases, rubrics, and regression tests that prove a change made the agent better
Design agent memory and retrieval: persistent per-account context, pre-compute, and just-in-time lookups that keep reasoning fast, cheap, and reliable across many concurrent agent instances
Harden against adversarial data so a crafted account name or note cannot hijack the agent
Integrate frontier LLMs behind a model-agnostic abstraction with routing by task, cost, and latency; own the cost, latency, and reliability of your surface, and create the patterns that let the team build agents faster
4+ years building production systems, including 2+ years shipping LLM-powered or agentic systems
You have shipped customer-facing LLM or agent systems that real users depend on, and can explain how they failed and how you fixed them
Strong, current Python (TypeScript or Go a plus)
Hands-on with a modern agent framework / orchestration (e.g. LangGraph or agent SDKs), tool/function-calling, structured outputs, retrieval (RAG), and context/memory management
Strong systems-engineering fundamentals (concurrency, distributed systems, statefulness, latency and cost at scale), plus skill debugging deep, non-deterministic failures in multi-step agent traces
High agency: you scope, prioritize, and ship without waiting for permission
Experience with Salesforce APIs (Bulk 2.0, Composite, Pub/Sub) or another large, messy enterprise data source
MCP (Model Context Protocol), A2A, or similar tool and agent interoperability standards; the modern eval/observability stack (Promptfoo, Braintrust, Langfuse) and durable execution (Inngest, Temporal)
Run hundreds or thousands of concurrent agent instances (serverless or function-style runtimes); multi-tenant data isolation (Postgres + RLS) and a strong security posture for holding customer data
A founder or founding-engineer background, or contributions to open-source agent or LLM tooling
The salary for this role will be between $160,000 and $200,000 base, plus equity.
LeanData is the execution engine behind your GTM strategy
Help your teams align to your customer’s journey by uniting your CRM data, signals, and tools from the first buying signal to closed-won and beyond. LeanData delivers accurate and actionable data and insights to automate even the most sophisticated customer lifecycle motions including: Buying groups ABX Post-Sales Speed to Lead Increase efficiency, capture more revenue and deliver better customer experiences: LeanData is the execution engine behind your GTM strategy. Check out the 1,000+ Enterprise and Commercial Leaders that use LeanData to maximize their revenue teams: https://www.leandata.com/featured-customers/
Offices: 2901 Patrick Henry Drive, Santa Clara, CA 95054, US
Based on 1850 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $120k–$275k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,984 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, Marvell Technology, Qualcomm, Intel, among others. Browse the listings above to see every active employer.
Yes — 344 of the 1984 open engineering positions offer remote or hybrid work (74 remote, 270 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
