Forward Deployed Engineer Jobs in California
Forward Deployed Engineer jobs in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Palantir, Scale AI, and Anduril Industries maintain significant engineering operations and hire at every level from early-career to staff. California's market is among the most active in the country for this role, with particularly strong demand in defense tech, AI infrastructure deployment, and enterprise software implementation. Find a role that fits below and apply directly.
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Showing 5 of 190+ Forward Deployed Engineer jobs
Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development.
- 9 years of experience building APIs or web applications, designing scalable microservice or system architectures, including backend data pipelines, distributed systems, and data privacy.
- 8 years of experience in full-stack development using one or more programming languages (e.g., Python, Go, Java, C++, or TypeScript) with practical experience building enterprise-grade applied AI solutions.
- 4 years of experience working with teams and business stakeholders to create product roadmaps. 4 years of experience as a Tech Lead or Engineering Manager.
Preferred qualifications:
- Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related field.
- 4 years of experience with SRE, InfoSec, or DevOps, with experience building LLM evaluation (evals) pipelines, observability, and optimizing LLM-native metrics at scale.
- 2 years of experience in vulnerability testing, security auditing, implementing AI safety guardrails, and ensuring enterprise accuracy.
- Experience with enterprise AI data infrastructure (vector databases, embedding generation, search architectures, data readiness, and state-management).
- Experience designing multi-agent systems (ReAct, tool-calling), MCP, and orchestration frameworks.
- Knowledge of GTM, sales workflows, or CRMs, with experience driving technical adoption of zero-to-one AI products.
About the job
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).
It's an exciting time to join YouTube's Go To Market Organization's AI Accelerator team, devising the AI transformation for YouTube Business GTM operations. The AI Accelerator is a newly formed task group dedicated to driving AI transformation across the organization. Our mission is to operate as a high-velocity, horizontal transformation engine, partnering directly with YouTube Biz GTM business domains to fundamentally redesign legacy workflows from scratch and leverage applied AI to drive direct business impact for YouTube. We operate at the intersection of consulting, product strategy, applied AI and systems engineering. We identify the most painful operational bottlenecks across the organization and rapidly deploy intelligent, enterprise-grade AI powered solutions to solve them.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $186000 - $269000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build GenAI PoCs (LLMs, RAG, agentic frameworks) to demonstrate feasibility to stakeholders, translating ambiguous business problems into software solutions.
- Serve as engineering Lead delivering complex AI applications, transitioning rapid prototypes to production-grade systems (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
- Act as a trusted engineering partner to product managements and stakeholders, co-creating tool roadmaps that enable YouTube's business operations.
- Author technical designs, write clean/maintainable code, build front-ends, and deliver from scoping to deployment.
- Build high-performance eval pipelines and observability frameworks to resolve AI bottlenecks (data readiness, system integration, state-management) while ensuring accuracy, safety, compliance, and latency.
Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, Math, a related quantitative field, or equivalent practical experience in software development.
- 9 years of experience building APIs or web applications, designing scalable microservice or system architectures, including backend data pipelines, distributed systems, and data privacy.
- 8 years of experience in full-stack development using one or more programming languages (e.g., Python, Go, Java, C++, or TypeScript) with practical experience building enterprise-grade applied AI solutions.
- 4 years of experience working with teams and business stakeholders to create product roadmaps. 4 years of experience as a Tech Lead or Engineering Manager.
Preferred qualifications:
- Master’s degree or PhD in Artificial Intelligence, Computer Science, or a related field.
- 4 years of experience with SRE, InfoSec, or DevOps, with experience building LLM evaluation (evals) pipelines, observability, and optimizing LLM-native metrics at scale.
- 2 years of experience in vulnerability testing, security auditing, implementing AI safety guardrails, and ensuring enterprise accuracy.
- Experience with enterprise AI data infrastructure (vector databases, embedding generation, search architectures, data readiness, and state-management).
- Experience designing multi-agent systems (ReAct, tool-calling), MCP, and orchestration frameworks.
- Knowledge of GTM, sales workflows, or CRMs, with experience driving technical adoption of zero-to-one AI products.
About the job
In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).
It's an exciting time to join YouTube's Go To Market Organization's AI Accelerator team, devising the AI transformation for YouTube Business GTM operations. The AI Accelerator is a newly formed task group dedicated to driving AI transformation across the organization. Our mission is to operate as a high-velocity, horizontal transformation engine, partnering directly with YouTube Biz GTM business domains to fundamentally redesign legacy workflows from scratch and leverage applied AI to drive direct business impact for YouTube. We operate at the intersection of consulting, product strategy, applied AI and systems engineering. We identify the most painful operational bottlenecks across the organization and rapidly deploy intelligent, enterprise-grade AI powered solutions to solve them.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $186000 - $269000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Build GenAI PoCs (LLMs, RAG, agentic frameworks) to demonstrate feasibility to stakeholders, translating ambiguous business problems into software solutions.
- Serve as engineering Lead delivering complex AI applications, transitioning rapid prototypes to production-grade systems (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
- Act as a trusted engineering partner to product managements and stakeholders, co-creating tool roadmaps that enable YouTube's business operations.
- Author technical designs, write clean/maintainable code, build front-ends, and deliver from scoping to deployment.
- Build high-performance eval pipelines and observability frameworks to resolve AI bottlenecks (data readiness, system integration, state-management) while ensuring accuracy, safety, compliance, and latency.
See All 190+ Forward Deployed Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsForward Deployed Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Forward Deployed Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software68
- Artificial Intelligence9
- Consulting & Professional Services7
- Staffing & Recruiting4
- Science & Research3
What California Employers Look For
The qualifications that appear most often in forward deployed engineer jobs across California.
- Bachelor's degree in computer science, engineering, or a closely related technical field
- Hands-on experience deploying or integrating software in customer production environments
- Proficiency in at least one scripting or programming language such as Python, SQL, or Java
- Ability to obtain and maintain a U.S. security clearance for defense or government contracts
- Strong written and verbal communication skills for working directly with enterprise clients
- Experience with cloud platforms such as AWS, Google Cloud, or Azure in a deployment context
Forward Deployed Engineer Jobs in California: Frequently Asked Questions
How do you become a forward deployed engineer in California?
The most direct path is a bachelor's degree in computer science, software engineering, or a related technical discipline from a California university or equivalent institution, followed by experience in technical implementation, solutions engineering, or software deployment. California does not require a state-issued license for this role. Employers typically look for candidates who can demonstrate hands-on deployment work through internships, project portfolios, or prior roles in technical support or solutions architecture.
Which companies hire forward deployed engineers in California?
Employers hiring forward deployed engineers in California right now include Snorkel AI, Adobe, and Jobot, based on current listings on Migrate Mate as of August 2026. California's concentration of defense technology firms, AI companies, and large enterprise software organizations makes it one of the most active states for this role.
Which California cities have the most forward deployed engineer jobs?
San Francisco, San Jose, and Los Angeles account for the most forward deployed engineer openings in California. The Bay Area leads because of its dense concentration of AI, defense tech, and enterprise software companies, while Los Angeles reflects the growth of aerospace and defense-adjacent firms, and San Diego draws demand from its large defense contracting and cybersecurity sector.
Are there remote forward deployed engineer jobs in California?
Yes, but they're less common than in purely analytical or software development roles, since forward deployed engineers are often required to work on-site at customer facilities to deploy and support technical systems. About 37% of forward deployed engineer openings tied to California are remote or hybrid as of August 2026, with remote work most feasible during integration planning, documentation, or follow-on support phases rather than initial deployment.
How can I get hired as a forward deployed engineer in California with little or no experience?
The most realistic entry point is a technical support, solutions engineering associate, or implementation specialist role at a California-based software or defense tech company. Firms like Palantir and Anduril have run new-graduate and associate programs that develop candidates into forward deployed roles. Building a portfolio of deployment or integration projects through internships or open-source contributions, combined with cloud certifications from providers like AWS or Google Cloud, gives candidates a meaningful edge with California employers hiring at the entry level.
Where can I find and apply to forward deployed engineer jobs in California?
You can find and apply to forward deployed engineer jobs in California on Migrate Mate, which lists current California openings across the Bay Area, Los Angeles, San Diego, and beyond. Find a role that fits and apply directly to the employer.
See All 190+ Forward Deployed Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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