Redwood City, California, United States · Hybrid
$173k–$286k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…
Skills: ReactJS, TypeScript, Java, Spring Framework, AWS
Redwood City, California, United States · On-site
About Pilgrim: Pilgrim develops and deploys advanced biotechnology for defense and national security. Our primary platform, ARGUS, is a fully autonomous system for detecting biological threats in near real time, from nat…
Skills: Nucleic Acid-Based Assays, Sample-Preparation Workflows, Genomics, Microbiology, Molecular Assay Development
Redwood City, California, United States · Hybrid
You'll own how Luma's models get served — integrating new architectures into the inference engine, scaling deployments across thousands of machines, and keeping expensive GPU fleets busy while meeting internal SLOs. This…
Skills: Python, System architecture, PyTorch, Hugging Face, vLLM
Redwood City, California, United States · Hybrid
You'll lead the team that owns Luma's entire inference serving stack — routing, scheduling, and fleet-wide orchestration across thousands of GPUs, multiple clouds, and hardware vendors — where all of Luma's compute meets…
Skills: Distributed systems, ML infrastructure, Model serving, Inference platforms, LLM
Redwood City, California, United States · Hybrid
You'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. This is the role at the center of the thesi…
Skills: Generative modeling, World models, PyTorch, Computer vision, Robotics
Redwood City, California, United States · Hybrid
As Luma's founding Robotics Engineer, you'll bring up commercial robot platforms — humanoids, arms, mobile bases — wire up the sensors and data pipelines our world models need, and run the experiments that tell us whethe…
Skills: Robotics, Systems integration, ROS, ROS2, Python
Redwood City, California, United States · Hybrid
You'll build and train large-scale multimodal agentic models — systems that reason, plan, code, and call tools to do complex, multi-step work over pixels. This is core research shaping how users interact with what Luma's…
Skills: Machine Learning, Foundation Models, Agentic Systems, Multimodal Models, PyTorch
Redwood City, California, United States · Hybrid
You'll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on innovation on top of reliable, efficient, scalable infrastructure. This is hard P…
Skills: PyTorch, CUDA, Distributed systems, FSDP, Tensor Parallel
Redwood City, California, United States · Hybrid
You'll own features end to end, from a fuzzy concept to a shipped, polished experience, and you'll design the interaction paradigms for a product where AI is the medium, not a feature bolted on. This is a hands-on genera…
Skills: Product Design, Interaction Design, Visual Design, Prototyping, AI Tools
Redwood City, California, United States · Hybrid
You'll build the systems that make reinforcement learning work at frontier scale — coupling policy optimization with large fleets of inference workers, agentic environments, and the reward and verification systems that t…
Skills: Reinforcement Learning, Distributed Systems, PyTorch, LLM Post-training, PPO
Redwood City, California, United States · Hybrid
You'll make Luma's multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale without sacrificing quality. You'll write the kernels and operations that …
Skills: Triton, CUDA, PyTorch, GPU Optimization, Transformer Architectures
Redwood City, California, United States · Hybrid
You'll architect the reasoning core at the heart of Luma's world-modeling — the intelligence governing the world-simulations behind products like Dream Machine and Ray3. This is core research that powers everything Luma …
Skills: Machine Learning, Computer Science, Physics, Mathematics, Distributed Computing
Redwood City, California, United States · Hybrid
You'll own Luma's global compute footprint end to end — capacity strategy, multi-million-dollar capital allocation, and systems architecture — making sure research and robotics teams have the runway to ship frontier worl…
Skills: Compute strategy, Capacity planning, Systems architecture, Vendor negotiation, Distributed systems
Redwood City, California, United States · Hybrid
Luma is growing fast and doesn't always have every role posted. If you believe you can do work here that matters and don't see the right opening, this is the place to tell us why. Send us the work that speaks for you — p…
Skills: Research, Engineering, Design, Product Management, Go-to-market Strategy
Redwood City, California, United States · Hybrid
$235k–$353k/yr
You'll set technical direction for how products get built at Luma, directing AI coding agents to ship production systems fast while making the disciplined calls on scope, structure, and trade-offs. This is a senior role …
Skills: System design, AI coding agents, Technical leadership, Product intuition, Distributed systems
Redwood City, California, United States · Hybrid
$168k–$252k/yr
Team: Infra Reliability · SF Bay Area / Remote (US) You'll own the GPU infrastructure Luma's research and product run on — thousands of NVIDIA and AMD GPUs across on-prem and multi-cloud (AWS and OCI). As a Senior SRE, y…
Skills: Linux, GPU Infrastructure, Python, Go, Bash
Redwood City, California, United States · Hybrid
$168k–$252k/yr
Forward Deployed Engineers turn what Luma's models can do into systems customers actually rely on. You embed with a customer, learn their workflow, define the problem with them, and build the production system that solve…
Skills: Software Engineering, Python, TypeScript, Go, System Architecture
Redwood City, California, United States · Hybrid
$230k–$360k/yr
You'll own the reliability of Luma's 10k+ GPU fleet: the scheduling, efficiency, and resilience that research and products depend on. As a Staff AI Infrastructure Engineer, you'll be a technical authority who turns deep …
Skills: Linux, Distributed systems, GPU clusters, Kubernetes, Infrastructure architecture
Redwood City, California, United States · Hybrid
$235k–$353k/yr
You'll build the security foundations under Luma's models and products: identity, access control, secrets, encryption, and how autonomous AI systems are granted and constrained in their authority. This is a hands-on, sen…
Skills: Security Engineering, Identity and Access Management, Secrets Management, Encryption, Key Management
Redwood City, California, United States · Hybrid
$168k–$252k/yr
You'll ship real products to real users at Luma, working close to experienced technical leaders and using AI coding agents to build at a pace that wasn't possible a few years ago. This is a role for an engineer early in …
Skills: Software Engineering, Python, TypeScript, Go, Java
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The role involves architecting and delivering full-stack cloud products, focusing on accessible design systems and scalable microservices. The engineer will also lead the adoption of AI-native engineering practices and mentor other developers on the team.
Requires a degree in Computer Science and 8+ years of experience in enterprise backend and modern frontend development. Candidates must have deep expertise in design systems, cloud infrastructure, and hands-on experience with agentic AI coding tools.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software EngineeringJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Lead Member of Technical Staff (LMTS) — Full Stack & Design Systems, Cloud Platform
Location: Redwood City, CA (Informatica Cloud Team)
Description
We're looking for a Lead Member of Technical Staff (LMTS) who pairs deep Design System / UI platform expertise with full-stack cloud product engineering, and who works AI-natively — using AI-assisted SDLC tooling (Claude / Claude Code and similar) as a core part of how they design, build, review, and ship. You'll join our Informatica Cloud team building the leading AI powered integration-Platform-as-a-Service (iPaaS) — delivering Data Integration, Data Quality, Master Data Management, and Data Governance as cloud services.
Job Summary
As an LMTS on an agile team, you will own architecture and delivery across the full stack — from accessible, scalable design-system-driven UI down through microservices, APIs, and cloud infrastructure. You will set technical patterns others follow, mentor engineers, and operate at high autonomy in a fluid, fast-paced environment. Beyond traditional engineering, you'll help establish how the team adopts AI across the software development lifecycle — orchestrating AI agents, building trusted automated pipelines, and converting AI leverage into shipped, high-quality products.
Technology You'll Use
Frontend / Design Systems
ReactJS, TypeScript, JavaScript, HTML5, CSS3
Design Systems, component libraries & UI platforms
Redux, RxJS / state management; Webpack, Babel, npm, yarn
Jest, React Testing Library; visual regression & e2e testing
Backend / Cloud
Java SDK, J2EE / Spring Framework, REST, JSON, GraphQL
Microservices on AWS / Azure / GCP; Kubernetes, Docker
MySQL, Flyway, schema design & migrations; Chef
Gradle, Maven; Git, CI/CD pipelines
AI-Assisted SDLC
Claude / Claude Code (agentic coding), AI code review, and AI-driven testing/documentation workflows
MCP-based tooling, prompt/workflow orchestration, and multi-agent automation
What You'll Do
Architect and build across the full stack — from accessible, high-performance UI components and design systems to scalable microservices, APIs, and data-layer designs.
Take architectural ownership of both UI platform / design system initiatives and backend functional areas; own performance and scalability.
Lead frontend architecture and design-system adoption across product teams; collaborate with UX to translate designs into high-quality, WCAG-compliant code.
Drive AI-native engineering practices — orchestrate AI agents to decompose and accelerate work, build trusted autonomous pipelines (code gen, review, test, docs), and set AI-SDLC patterns the broader team adopts.
Lead feature delivery end-to-end with predictable, high-quality releases; provide detailed estimates and meet schedules.
Ensure quality — partner with QA on customer-centric testing, review test specs, minimize regressions across unit / integration / visual / e2e layers.
Mentor engineers on architecture, design, testing, accessibility, and effective use of AI tooling; lead code reviews with constructive feedback.
Communicate and collaborate — give sprint demos to PMs and stakeholders, drive scoping and technical decisions, and produce clear technical documentation.
Support customers and field engineers with troubleshooting complex issues.
Key Essentials
BE/MS in Computer Science or related technical discipline; advanced degree preferred.
8+ years of software engineering experience spanning enterprise backend and modern frontend.
Backend: proven experience with data-intensive, multi-threaded, service-oriented cloud products at scale (Java, Spring, REST); demonstrable DB-layer knowlege (schema design, migrations); cloud app development, deployment, and operations (AWS/Azure/GCP, Kubernetes, Docker).
Frontend / Design Systems: deep expertise in design systems (architecture, governance, adoption, scaling); building and maintaining component libraries and UI platforms with React/TypeScript; expert CSS architecture (BEM, CSS-in-JS, CSS Modules).
Strong grasp of web accessibility (WCAG 2.1 AA/AAA), browser rendering, performance optimization, and web vitals.
AI-Assisted SDLC experience — hands-on use of Claude / Claude Code or comparable agentic coding tools to accelerate design, implementation, code review, testing, and documentation; ability to orchestrate AI agents and build reusable, trusted automation rather than one-off prompting.
Experience with Agile methodologies and release management; ability to work independently with high autonomy and take initiative.
Excellent communication, collaboration, and mentorship skills in a fast-paced, iterative environment.
Nice to Have
Contributions to open-source UI libraries or design systems.
iPaaS / data integration, data quality, MDM, or data governance domain experience.
Building AI/agentic developer tooling, MCP servers, or LLM-integrated internal platforms.
CI/CD automation for both frontend and backend applications.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.We're the #1 AI CRM—where humans with agents drive customer success together with AI, data, and Customer 360 apps on one platform. Privacy Statement: http://www.salesforce.com/company/privacy/
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Based on 202 listings with disclosed salaries, most engineering jobs in Redwood City, CA pay between $117k–$250k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 260 open engineering positions in Redwood City, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Revolution Medicine, Luma, Delinea, BKF Engineers, Box, among others. Browse the listings above to see every active employer.
Yes — 145 of the 260 open engineering positions offer remote or hybrid work (29 remote, 116 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.
