Top 383 Forward deployed engineer Jobs in New York, Ny

Forward Deployed Engineer
Normal Computing Corporation —New York, NY
- $200,000 - $400,000 a year
- Full-time
- Hybrid work
- Senior level
- Python
Software Engineer, Forward Deployed AI
Ramp —New York, NY
- $189,000 - $330,000 a year
- Full-time
- Hybrid work
- Azure
- Java
- AWS
- Travel reimbursement
- AD&D insurance
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 Engineer (Ops)
Taktile —New York, NY
- $90,000 - $120,000 a year
- Full-time
- Hybrid work
- English
- Office
- SQL
Senior Forward Deployed Engineer [NYC or SF]
Amigo —New York, NY
- $200,000 - $260,000 a year
- Full-time
- Senior level
- Dental insurance
- Vision insurance
14d
Forward Deployed Robotics Engineer
Mecka —New York, NY
- $120,000 - $180,000 a year
- Full-time
- Travel
- Linux
- In-person
Quick Apply
Forward Deployed Engineer
August —New York, NY
- $170,000 - $300,000 a year
- Full-time
- 3 years
- SharePoint
- Senior level
- Health insurance
- Paid time off
Forward Deployed Engineer
Extend —New York, NY
- $175,000 - $250,000 a year
- Full-time
- Travel
- APIs
- Senior level
- Health insurance
Sr. Forward Deployed Engineer (FDE) - Manufacturing
Databricks —New York, NY
- $182,000 - $250,208 a year
- Azure
- 6 years
- System design
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 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
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
Special —New York, NY
- $150,000 - $300,000 a year
- Full-time
- Mid-level
- Communication skills
- Disability insurance
- Health insurance
Quick Apply
Forward Deployed Engineer
Basic Capital —New York, NY
- $180,000 - $210,000 a year
- Full-time
- Mid-level
- Office
- Communication skills
Forward Deployed Engineer
Legora —New York, NY
- $194,650 - $240,000 a year
- Full-time
- Office
- Scripting
- SharePoint
- Commuter assistance
- Health savings account
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 Software Engineer
Dirac —New York, NY
- $120,000 - $200,000 a year
- Full-time
- ERP systems
- Mid-level
- Office
- Commuter assistance
- Relocation assistance
Staff Forward Deployed Engineer [NYC or SF]
Amigo —New York, NY
- $240,000 - $300,000 a year
- Full-time
- Management
- Senior level
- Dental insurance
- Vision insurance
Forward Deployed Engineer, Handshake AI Enterprise
Handshake —New York, NY
- $155,000 - $300,000 a year
- Full-time
- Office
- In-person
- Senior level
- Paid parental leave
- Health insurance
Quick Apply
Forward Deployed Engineer
PermitFlow —New York, NY
- $120,000 - $240,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- Construction experience
- Commuter assistance
- Health insurance
Quick Apply

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forward deployed engineer jobs near new york, ny

Forward Deployed Engineer

Normal Computing Corporation
New York, NY

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Job Details

Full-time
$200,000 - $400,000 a year

Qualifications

AI models
Application Integration
Systems integration
Software engineering
Engineering development testing
Requirements design
Verification (System development task)
AI tools proficiency
Prompt engineering
Collaboration with product development teams
Production validation processes
Model deployment
Distributed systems
Decision making
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 chip 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, building new product features, post-training models, and working in various silicon-native languages such as SystemVerilog. Note that many different kinds of candidates could be well-qualified for this role, even with non-overlapping expertise (e.g. ML background vs. silicon background).

What You Will 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: Embedded 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-prem on proprietary customer data and trajectories to customize to their workflow, tooling, and style preferences. 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, 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; anywhere between a few days for customer meetings and a few months for longer-term customer projects

Bonus Points

Direct experience with EDA, semiconductor design flows, verification workflows (UVM, SystemVerilog, coverage-driven verification), or other areas of silicon engineering
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: $200K - $400K

Apply Now

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About Normal Computing

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What Makes You a Great Fit

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