Top 214 Forward deployed engineer Jobs in Santa Clara, Ca

Forward Deployed Engineer
Normal Computing Corporation —Palo Alto, CA
- $180,000 - $325,000 a year
- Full-time
- Hybrid work
- Senior level
- Python
Forward Deployed Engineer (USA)
AiPrise —San Jose, CA
- $120,000 - $150,000 a year
- Full-time
- Azure
- Writing skills
- Mid-level
Quick Apply
Forward Deployed Engineer
Faros —San Mateo, CA
- $100,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer Science
- JavaScript
- APIs
Quick Apply
Forward Deployed Engineer
Simular —Palo Alto, CA
- Full-time
- Computer Science
- Mid-level
- Bachelor's degree
Quick Apply
Forward Deployed Data Engineer (Data Platform & Solutions)
FloQast —San Jose, CA
- $116,000 - $216,000 a year
- Full-time
- Mid-level
- 3 years
- SQL
- Disability insurance
- Health insurance
Forward Deployed Engineer - Entry Level
Ordr —Santa Clara, CA
- Full-time
- Computer Science
- Bachelor of Science
- Analysis skills
Forward Deployed Engineer - AI Partnerships
Teradyne —San Jose, CA
- $125,700 - $201,200 a year
- Computer science
- Computer Science
- Bachelor of Science
- Paid holidays
- Disability insurance
Forward Deployed Engineer
Nectar Social —Palo Alto, CA
- $160,000 - $270,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- Travel
- Dental insurance
- Vision insurance
14d
AI Forward Deployed Engineer
Quantifind —Palo Alto, CA
- $160,000 - $200,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Java
- Paid time off
- 401(k) matching
Quick Apply
Forward Deployed Engineer
Apple —Cupertino, CA
- $184,700 - $277,600 a year
- Computer Science
- Bachelor of Science
- 8 years
- Employee stock purchase plan
- Health insurance
Founding Forward Deployed Engineer
Glean Technologies —Mountain View, CA
- $160,000 - $270,000 a year
- Hybrid work
- Computer Science
- Up to 50% travel
- Engineering
- Health insurance
- Dental insurance
X Developer Platform – Forward Deployed Engineer, X API
SpaceXAI —Palo Alto, CA
- $180,000 - $440,000 a year
- 5 years
- Research
- Java
- Disability insurance
- Health insurance
Quick Apply
10d
Forward Deployed Engineer (Redwood City)
C3 AI —Redwood City, CA
- $120,000 - $158,000 a year
- Mid-level
- Product management
- Travel
Lead Forward Deployed Engineer - Migration
Snowflake —Menlo Park, CA
- $236,000 - $339,250 a year
- Computer Science
- Java
- Analysis skills
- Health savings account
- Paid holidays
Forward Deployed Engineer
Workato —Palo Alto, CA
- $70,000 - $100,000 a year
- Computer science
- Computer Science
- Customer service
Quick Apply
Forward Deployment Engineer
Glint Tech Solutions LLC —Mountain View, CA
- $100,000 - $200,000 a year
- Full-time
- Mid-level
- APIs
Quick Apply
Senior Application Security Engineer - Moveworks
ServiceNow —Mountain View, CA
- Online Application
- Computer science
- Azure
- Computer Science
Quick Apply
Electrical Integration Engineer
Manpower Engineering —Foster City, CA
- $81 an hour
- 5 years
- Analysis skills
- Continuous improvement
- Health savings account
- Disability insurance
Quick Apply
9d
Senior Manager AI/ML Engineering - Remote
UnitedHealth Group —San Jose, CA
- $148,900 - $255,300 a year
- Full-time
- Azure
- Computer Science
- Pass drug screening
Forward Deployed Engineer
Automation Anywhere —San Jose, CA
- $130,000 - $150,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- Office
- Parental leave
- Flexible schedule

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forward deployed engineer jobs near santa clara, ca

Forward Deployed Engineer

Normal Computing Corporation
Palo Alto, CA

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Job Details

Full-time
$180,000 - $325,000 a year

Qualifications

AI models
Application Integration
Systems integration
Software engineering
Engineering development testing
Requirements design
Verification (System development task)
Prompt engineering
Collaboration with product development teams
Model deployment
Distributed systems
Decision making
AI implementation
Model training
System deployment
Technical troubleshooting support
Open source contribution
Distributed computing
SystemVerilog
Senior level
Python
MLOps
Debugging
Production troubleshooting

Full Job Description

About Normal Computing

Normal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.

We co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.

Normal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.

The Role

The cost of taping out silicon is enormous, and the complexity of verification makes multiple tapeouts hard to avoid. Normal EDA accelerates this work as an AI platform for collaborative silicon engineering: a single source of truth across the silicon engineering lifecycle, learning continuously from the teams that use it. As a Forward Deployed Engineer, you own our EDA system inside a customer's environment. Embedded directly with our partners, you adapt our platform to their data, workflows, and design challenges, working alongside our account executive and a deployment strategist to make the deployment a success.

You thrive as a problem-solver and take pride in winning over customers along with the rest of your team. You will be debugging distributed systems, post-training models, and working in SystemVerilog, because that is the language of our customers.

What You'll Own

Production Problem-Solving: Diagnose issues in our system, the model, the data, or the workflow. Work deep in both Normal's systems and the customer's environment to resolve them, and close the loop with their engineers.
Evaluation Against Reality: Design and run evals against real customer workflows, validating generated artifacts against their specifications so model behavior holds up in production.
Platform Integration: Integrate the platform with each customer's data, design flows, and tooling, working with their production codebases and against their existing infrastructure.
Customer Signal: Embed with silicon design teams, translate their constraints into model and platform requirements, and carry that signal back to Normal's research, product, and platform teams to shape what gets built next.
Continual Learning: Post-train Normal's models on each customer's proprietary data and trajectories, and build the continual-learning loops that turn their engineers' feedback into system knowledge, so model quality compounds across the engagement.
Judgment Ahead of Playbook: Make the calls on what to build, what to skip, and when to push back on a request that would compromise what ships. Codify what works into patterns that raise the floor for every engagement after yours.

What Makes You a Great Fit

Great at problem-solving and tracking down issues wherever they are in the stack
Strong software engineering fundamentals: proficient in Python, comfortable in production codebases, distributed-systems literate
Hands-on experience with the modern ML stack: prompt engineering, fine-tuning, evals, RAG, agentic patterns, model deployment
Willingness and ability to go deep on semiconductor verification workflows. You will spend significant time inside UVM testbenches, SystemVerilog codebases, and design specifications. Prior experience is a strong advantage, but what matters is whether you can build fluency fast and earn credibility with verification engineers
An ability to ship ML systems inside customer or production environments where model behavior had to hold up against real-world data
Calm in ambiguity: you make good decisions with incomplete information, and you know when to act and when to ask
Comfortable with travel when needed

Bonus Points

Direct experience with EDA, semiconductor design flows, verification workflows (UVM, SystemVerilog, coverage-driven verification), or other formal/structured engineering domains
Built or led an FDE or customer-deployment function from the ground up at an earlier-stage company
Open-source contributions or publications in AI or ML venues

Equal Employment Opportunity Statement

Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.

Accessibility Accommodations

Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected].

Privacy Notice

By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

Compensation Range: $180K - $325K

Apply Now

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forward deployed engineer jobs in santa clara, ca

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