Forward Deployed Software Engineer Jobs in California
Forward Deployed Software Engineer jobs in California are among the most active in the country, concentrated in enterprise software, defense technology, and AI infrastructure, with openings from entry-level through senior principal. San Francisco, Los Angeles, and San Diego lead hiring volume, anchored by major employers like Palantir, Anduril, and Salesforce. The most in-demand specialties are field engineering for AI platforms, defense systems integration, and enterprise data infrastructure deployment. Find a role that fits below and apply directly.
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Showing 5 of 190+ Forward Deployed Software 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 Software Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsForward Deployed Software Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Forward Deployed Software 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 software engineer jobs across California.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Hands-on experience writing production code in Python, Java, C++, or Go
- Ability to work on-site with customers and travel to client locations as required
- Experience deploying and troubleshooting software in complex enterprise or government environments
- Strong verbal and written communication skills for technical and non-technical audiences
- Familiarity with cloud infrastructure platforms such as AWS, Google Cloud, or Azure
Forward Deployed Software Engineer Jobs in California: Frequently Asked Questions
How do you become a forward deployed software engineer in California?
Forward deployed software engineering has no California state license requirement, so the path runs through education and demonstrated technical skill. Most California employers expect a bachelor's degree in computer science, software engineering, or a related field, though some accept equivalent bootcamp or self-taught backgrounds with a strong portfolio. Roles with defense contractors in San Diego or Los Angeles may require a federal security clearance, which the employer sponsors after hire.
How much do forward deployed software engineers make in California?
Forward deployed software engineers in California earn a median of about $174,410 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $105,060 for the lowest 10% to over $272,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire forward deployed software engineers in California?
Employers hiring forward deployed software 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 enterprise software companies, defense technology firms, and AI infrastructure startups makes it one of the deepest hiring markets in the country for this role.
Which California cities have the most forward deployed software engineer jobs?
San Francisco, San Jose, and Los Angeles have the most forward deployed software engineer openings in California. San Francisco leads because the Bay Area's density of enterprise software and AI companies generates the most customer-facing deployment work, while Los Angeles and San Diego draw openings from defense technology firms and aerospace contractors that rely heavily on field engineering talent.
Are there remote forward deployed software engineer jobs in California?
Yes, but they're less common than in purely analytical software roles because forward deployed work is defined by on-site customer engagement. About 37% of forward deployed software engineer openings tied to California are remote or hybrid as of August 2026, and those tend to be in pre-sales engineering, technical account management, or roles where the customer environment can be accessed through a secure cloud connection rather than a physical site visit.
How can I get hired as a forward deployed software engineer in California with little or no experience?
The most realistic entry path is through an associate or junior field engineer role at a California enterprise software company, where structured onboarding programs pair new graduates with senior engineers on customer deployments. Palantir, Salesforce, and several Bay Area defense technology firms run new-graduate programs that develop field skills on the job. Candidates who can demonstrate a working side project, contribute to an open-source deployment tool, or complete a cloud certification strengthen their candidacy against applicants with more years on a resume.
Where can I find and apply to forward deployed software engineer jobs in California?
You can find and apply to forward deployed software engineer jobs in California on Migrate Mate, which lists current California openings across industries and metro areas. Find roles that fit your background and apply directly to the employers posting them.
See All 190+ Forward Deployed Software Engineer Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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