Palo Alto, California, United States · On-site
Palo Alto, CA | Full-Time | On-site About Nace AI: Nace AI is an enterprise AI product and research company in Palo Alto (backed by General Catalyst, Walden Catalyst, and Intel). We build long-running AI agents powered b…
Skills: MLOps, LLM Inference, Kubernetes, Docker, Terraform
Palo Alto, California, United States · On-site
Technical Program Manager Palo Alto, CA | Full-Time | On-site About Nace AI: Nace AI is an enterprise AI product and research company in Palo Alto (backed by General Catalyst, Walden Catalyst, and Intel). We build long-r…
Skills: Program Management, Technical Communication, Roadmapping, Risk Mitigation, Sprint Planning
Palo Alto, California, United States · Hybrid
$55/hr–$74/hr
If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of Americ…
Skills: Project Coordination, Document Control, Construction Management, Budget Tracking, Scheduling
Palo Alto, California, United States · Hybrid
$165k–$180k/yr
About us At Vinci, we are building the operator intelligence infrastructure that modern hardware programs rely on daily. We have already proven that a single foundation model works out of the box across physics on realis…
Skills: Terraform, Python, C++, Jenkins, CMake
Palo Alto, California, United States · Hybrid
$147k–$184k/yr
About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity s…
Skills: Python, C/C++, SQL, PySpark, Embedded Linux
Palo Alto, California, United States · Hybrid
$33/hr–$42/hr
If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of Americ…
Skills: Project Coordination, Document Control, CAD, Bluebeam, Microsoft Project
Palo Alto, California, United States · Hybrid
$190k–$225k/yr
About ALSO. We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innova…
Skills: Vehicle Durability Testing, Systems Test Engineering, Instrumentation, Data Collection, Homologation
Palo Alto, California, United States · On-site
$190k–$220k/yr
About ALSO. We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innova…
Skills: Systems Integration, Embedded Systems, Python, C++, CAN
Palo Alto, California, United States · Hybrid
$90k–$130k/yr
DAHLIN is a diverse, award-winning architecture, planning, and interiors firm practice with offices located throughout the Western United States. We offer more than 45 years of experience building communities where we li…
Skills: Project Management, SketchUp, AutoCAD, Revit/BIM, Budget Management
Palo Alto, California, United States · On-site
$133k–$185k/yr
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III (AI/Machine Learning Platform Engineer) at JPMorgan Chase within the Consumer &…
Skills: Python, TensorFlow, PyTorch, Scikit-learn, Spark
Palo Alto, California, United States · On-site
$120k–$160k/yr
Imagine a future where everyone has instant, low-cost access to intelligence. We’re building a fully featured European AI cloud - with everything one needs to train, experiment with, and deploy AI models. In addition, ou…
Skills: Procurement, Supply Chain Management, Vendor Management, Negotiation, Logistics Coordination
Palo Alto, California, United States · On-site
About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we con…
Skills: Functional Safety Risk Management, HARA, ASIL Allocation, Supplier Safety Assessments, Requirements Management
Palo Alto, California, United States · Hybrid
$200k/yr
At Verda, we're building a fully featured European AI cloud, covering everything needed to train, experiment with, and deploy AI models at scale. We are a full-stack AI infrastructure company, meaning we design, operate,…
Skills: Strategic Account Management, Enterprise B2B Sales, AI Infrastructure, Complex Negotiations, Executive Relationship Management
Palo Alto, California, United States · Hybrid
$90k–$176k/yr
About the team MongoDB Technical Services Engineers use their outstanding problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB pr…
Skills: MongoDB, Kubernetes, Linux, Networking, Cloud Infrastructure
Palo Alto, California, United States · On-site
$26/hr–$39/hr
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyabl…
Skills: Fleet Monitoring, Incident Response, Ticket Categorization, Analytical Skills, Communication
Palo Alto, California, United States · On-site
While we may not have an immediate opening, we are always interested in connecting with talented and impact-driven professionals who would like to collaborate with us on our future projects. Potential roles may include D…
Skills: Design Research, UX Research, AI Engineering, AI Architecture, Project Management
Palo Alto, California, United States · On-site
Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest gl…
Skills: AI System Design, Generative AI, Machine Learning, Model Optimization, Agentic Workflows
Palo Alto, California, United States · Hybrid
$265k–$351k/yr
About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity s…
Skills: Golang, Python, AWS, Kubernetes, LLM Architecture
Palo Alto, California, United States · On-site
$160k–$190k/yr
About ALSO. We’re ALSO, an electric mobility company originally conceived as a part of Rivian. We’re a passionate team of builders, dreamers, doers and innovators, focused on creating entirely new (not to mention, innova…
Skills: Embedded Firmware Validation, HIL Testing, SIL Testing, Python, C/C++
Palo Alto, California, United States · On-site
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and en…
Skills: Generative AI, Large Language Models, Deep Learning, Multi-objective Optimization, Reinforcement Learning
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Design and operate the end-to-end infrastructure for training, deploying, and monitoring specialized Small Language Models (SLMs). Own the LLM serving layer to ensure low-latency, high-throughput inference for enterprise financial workflows.
Requires 5+ years of experience in MLOps or platform engineering with a strong track record of scaling LLM inference in production. Must be proficient in Kubernetes, Python, and GPU cluster management with a degree in Computer Science.
Palo Alto, CA | Full-Time | On-site
Nace AI is an enterprise AI product and research company in Palo Alto (backed by General Catalyst, Walden Catalyst, and Intel). We build long-running AI agents powered by our own specialized SLMs — we started with financial audit and accounting workflows and are expanding from there. Real enterprise deployments, not demos.
As a Senior MLOps Engineer, you will own the infrastructure that takes Nace.AI's models from research to reliable, production-grade systems. Our infrastructure generates task-specific Small Language Models (SLMs) in real time — which means our training, serving, and evaluation infrastructure isn't an afterthought; it is the product. You will design and operate the pipelines, orchestration, and serving layers that allow us to train, deploy, monitor, and continuously improve many specialized models at once, with the reliability that high-stakes audit, compliance, and finance workflows demand. This role sits at the intersection of ML engineering, LLM inference infrastructure, and platform reliability, and requires both strong systems instincts and hands-on execution.
Design, build, and operate end-to-end ML infrastructure: training orchestration, experiment tracking, model registries, CI/CD for models, and automated evaluation pipelines.
Own LLM/SLM serving infrastructure — scale low-latency, high-throughput inference using frameworks like vLLM, including batching, caching, and autoscaling strategies.
Build and manage multi-GPU training and inference clusters (scheduling, utilization, cost optimization) across cloud and on-prem environments.
Implement observability for models in production: latency, throughput, drift, regression, and quality monitoring with actionable alerting.
Apply inference-time optimizations — quantization (AWQ, GPTQ, FP8/GGUF), distillation support, KV-cache management, and deployment tuning — in partnership with our ML and Research Engineers.
Harden our stack for enterprise deployment: reproducibility, versioning, access controls, and audit-ready traceability of model behavior.
Set MLOps best practices and tooling standards as an early, senior member of the infrastructure team.
5+ years of experience in MLOps, ML infrastructure, or platform engineering, with substantial production ownership.
Proven experience deploying and scaling LLM, inference infrastructure in production, including model serving frameworks such as TRT, vLLM, SGLang or TGI.
Strong proficiency with Kubernetes, containerization (Docker), and infrastructure-as-code (Terraform or similar).
Hands-on experience with GPU cluster management and distributed training/serving environments.
Proficient in Python with a strong track record of building substantial, maintainable systems.
Experience with ML pipeline and orchestration tooling (e.g., Airflow, Kubeflow, Ray, MLflow, Weights & Biases).
Solid foundation in computer science fundamentals and cloud architecture (AWS, GCP, or Azure).
BS degree in CS or related technical field.
Self-starter comfortable working in a fast-paced, dynamic environment.
MS in CS or related technical field.
Experience operating multi-node GPU training infrastructure.
Hands-on experience with quantization techniques (AWQ, GPTQ, FP8/GGUF) and other inference-time optimizations.
Familiarity with data processing stacks such as Spark and Airflow.
Experience supporting fine-tuning workflows for LLMs/VLMs (instruction tuning, RLHF/DPO pipelines).
Experience in regulated or enterprise environments where reliability, security, and auditability are first-class requirements.
Contributor to open-source ML infrastructure projects.
Pedigree: Work with a team from top-tier institutions and companies, backed by the best VCs in the world.
Impact: You are joining early enough to shape the infrastructure foundations of a company aiming to be the "OS" for professional knowledge.
Competitive Package: Silicon Valley-standard salary, significant equity, and premium benefits.
Check our End-to-end Agentic Accounting AI
Enterprise AI product & research company, building long-horizon reasoning models and agents. Our first product, Agentic Accounting, executes Financial Audit, Billing Audit, and Revenue Leakage Detection.
Offices: Lincoln Ave, Palo Alto, California 94301, US · Cambridge Ave, Palo Alto, California 94306, US
View all jobs at Nace AIBased on 415 listings with disclosed salaries, most engineering jobs in Palo Alto, CA pay between $112k–$260k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 551 open engineering positions in Palo Alto, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Rivian, Ford Motor Company, Amazon, SpaceX, Snap Inc., among others. Browse the listings above to see every active employer.
Yes — 233 of the 551 open engineering positions offer remote or hybrid work (42 remote, 191 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.
