Top 365 Forward deployed engineer Jobs in Clark, Nj

Forward Deployed Engineer
Normal Computing Corporation —New York, NY
- $180,000 - $325,000 a year
- Full-time
- Hybrid work
- Senior level
- Python
Forward Deployed Reliability Engineer
Palantir Technologies —New York, NY
- $110,000 - $147,000 a year
- Weekends as needed
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Paid parental leave
Forward Deployed Engineer
3Y Health —New York, NY
- $250,000 - $300,000 a year
- Full-time
- 5 years
- System design
- HIPAA
Quick Apply
Forward Deployed Engineer
Stuut —New York, NY
- $150,000 - $240,000 a year
- Full-time
- Mid-level
- Machine learning
- AI
- Health insurance
- Dental insurance
Forward Deployed Engineer
Happyrobot Inc. —New York, NY
- $120,000 - $200,000 a year
- Full-time
- Hybrid work
- Senior level
- Communication skills
- Python
- Health insurance
- Dental insurance
Senior Research Engineer
Peraton —Red Bank, NJ
- $135,000 - $216,000 a year
- Call employer
- Computer Science
- Bachelor of Science
- Engineering
- Health savings account
- Paid holidays
Head of AI/ML Solutions & Client Intelligence, Senior Vice President
Citi —Jersey City, NJ
- $176,720 - $265,080 a year
- Full-time
- Office
- Java
- 8 years
- Paid holidays
- Disability insurance
10d
AI Design Facilitator and Forward-Deployed Engineer II
Deloitte —Morristown, NJ
- $82,600 - $162,800 a year
- Full-time
- Up to 50% travel
- Bachelor's degree
- Product management
3d
Forward Deployed Manufacturing Engineer
Dirac —New York, NY
- $100,000 - $140,000 a year
- ERP systems
- Mid-level
- Office
- Commuter assistance
- Health insurance
Forward Deployed Legal Engineer
Epiq Systems, Inc. —New York, NY
- $140,000 - $175,000 a year
- Full-time
- Remote
- US work authorization
- Fair chance
- Senior level
4d
Forward Deployed Engineer
Take2 —New York, NY
- $80,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Mid-level
Forward Deployed AI Engineer
Charta Health —New York, NY
- $90,000 - $140,000 a year
- Full-time
- Office
- Senior level
- Communication skills
- Health insurance
- Dental insurance
Quick Apply
Forward Deployed Engineer
Vendelux —New York, NY
- $80,000 - $120,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
Forward Deployed Engineer
Arthur AI —New York, NY
- $170,000 - $220,000 a year
- Full-time
- Hybrid work
- SQL
- Senior level
- Communication skills
Forward Deployed Robotics Engineer
Mecka —New York, NY
- $120,000 - $180,000 a year
- Full-time
- Travel
- Linux
- In-person
Quick Apply
Forward Deployed AI Engineer
Palantir Technologies —New York, NY
- $135,000 - $200,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- JavaScript
- Commuter assistance
- Paid parental leave
Forward Deployed Engineer
Extend —New York, NY
- $175,000 - $250,000 a year
- Full-time
- Travel
- APIs
- Senior level
- Health insurance
Forward Deployed AI Engineer
Turing —New York, NY
- $180,000 - $230,000 a year
- Azure
- Computer Science
- 5 years
- Flexible schedule
Quick Apply
Forward Deployed Engineer TE01
River City Consulting —New York, NY
- $180,000 - $260,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- Commuter assistance
- Health savings account
Quick Apply
Forward Deployed Engineer
Gecko Robotics —New York, NY
- $140,000 - $245,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply

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forward deployed engineer jobs near clark, nj

Forward Deployed Engineer

Normal Computing Corporation
New York, NY

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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 clark, nj

Forward Deployed Engineer

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