1,997,019open jobs
118,303companies
249,269added this week
Browse all
Salary
≈ $133k – $299k per year (Estimated)
Location
Hybrid (San Francisco, United States)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Aug 11, 2026.

Overview
Company
Impact
Profile match
Neural Concept is a Swiss engineering software company founded in 2018 as a spin-off of EPFL that applies deep learning to computer-aided engineering. Its platform trains models on simulation and CAD data so that engineers in automotive, aerospace, electronics and energy can predict product performance in seconds and optimise designs. The company is headquartered in Lausanne, Switzerland, with offices in Munich, Tokyo, Seoul and the United States.

Solutions Engineer - US, West Coast

Location: Bay area preferred

Employment type: Full-time

Working model: Hybrid

About Neural Concept

Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows.

Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight.

We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us.

About the Role

As a Solutions Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence.

This is not a purely technical role, and it is not a pure sales role. You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities.

What You'll Do

  • Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs

  • Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded

  • Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision

  • Create and deliver compelling, client-tailored demos and presentations grounded in the client's engineering workflows, technically credible and aligned with the vision

  • Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows

  • Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes

  • Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge

  • Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals

  • Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities

Who You Are

  • You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI

  • You are naturally curious and people-driven. You earn trust through genuine interest in client challenges and make engineers and executives feel understood

  • You are proactive and commercially driven. You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations

  • You are a confident challenger. You ask uncomfortable questions, reframe assumptions, and guide clients toward better outcomes even when it requires pushing back

  • You are an outstanding communicator: you own executive conversations, drive narrative with clarity, and connect engineering problems to strategic outcomes

  • You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices

  • You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting

  • You are fluent in English

Experience working with Consumer Electronics companies, and associated FEA workflows is preferred.

What Will Set You Apart

Candidates who bring the following will be able to take on a wider scope and go deeper with the most technically complex accounts:

  • You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation

  • You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML/DL frameworks including model training, evaluation, and deployment

  • You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect

  • You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools

Nice-to-Have

  • Strategic or technical consulting background, executing digital transformations

  • Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk)

  • Background in ML/DL research or development in an engineering context

  • Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines)

What You Get

  • Work with a world-class technology team. Our engineers are top-notch and we always aim for excellence

  • Benefit from a competitive salary and rewarding opportunities as we continue to scale

  • Thrive in a collaborative, multicultural environment where your work is visible and recognized

  • Develop professionally alongside talented colleagues who share knowledge freely and support one another

  • Make a global impact by helping clients shift to AI-assisted design, making innovation faster, smarter, and more sustainable

  • Balance life and work with a hybrid model and flexible hours. We care about results, not rigid schedules

We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,997,019 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Solutions
Similar stack
Same company
San Francisco
$154k – $278k per year • Hybrid • TS/SCI • Full-Time • 15+ years exp • Bachelor's Degree • Gaithersburg
AI/ML
Computer Vision
AI Agents
Agentic Workflows
Cybersecurity
Zero Trust
Apply
$180k – $235k per year • Hybrid • 10+ years exp • Raleigh • Rio de Janeiro
Apply
$175k – $260k per year • Hybrid • Full-Time • New York
AI/ML
LLM
Apply
$175k – $260k per year • Hybrid • Full-Time • New York
AI/ML
LLM
Synthetic Data
Apply
Solutions Engineer 4 hours ago
$135k – $165k per year • Remote (United States) • Full-Time • 2+ years exp
Python
SQL
AI/ML
AI Agents
Apply
≈ $26k – $54k per year (Estimated) • In office • 10+ years exp • Bengaluru
Python
AI/ML
Fine-tuning
Embeddings
Reinforcement Learning
AI Agents
NLP
LLM
RAG
Semantic Search
Multi-Agent Systems
Machine Learning
DevOps
CI/CD
AWS
Apply
≈ $25k – $51k per year (Estimated) • In office • 3+ years exp • Bengaluru • Gurgaon • Mumbai
Python
AI/ML
Reinforcement Learning
Knowledge Distillation
AI Agents
LLM
Model Distillation
Reward Modeling
Machine Learning
Apply
In office • 5+ years exp • Bengaluru
Python
JavaScript
Node JS
Databases
PostgreSQL
Databricks
AI/ML
AI Agents
Frontend
React.js
DevOps
AWS
Apply
Architect 2 days ago
≈ $34k – $84k per year (Estimated) • In office • 8+ years exp • Bengaluru
Python
Rust
SQL
AI/ML
Machine Learning
DevOps
GCP
Azure
AWS
Apply
Data Engineer 2 days ago
≈ $15k – $39k per year (Estimated) • In office • 3+ years exp • Bengaluru
Python
SQL
Scala
Databases
Snowflake
Google BigQuery
Amazon Redshift
AI/ML
Prefect
Machine Learning
DevOps
GCP
Azure
AWS
Analytics
ETL/ELT
Apply
$125k – $200k per year • Hybrid • Full-Time • Master's Degree • San Francisco
Python
AI/ML
Machine Learning
Apply
$200k – $250k per year • Hybrid • Nationals only • Full-Time • 6+ years exp • New York • San Francisco
Python
AI/ML
LLM
DevOps
Terraform
Prometheus
GitOps
Kubernetes
Grafana
HPC
Linux
DNS
Cybersecurity
ISO 27001
Apply
≈ $106k – $237k per year (Estimated) • In office • Full-Time • Detroit
Python
AI/ML
AI Agents
Machine Learning
SpaceTech
ANSYS
Apply
$125k – $200k per year • Hybrid • Full-Time • Master's Degree • New York • Detroit
Python
AI/ML
Machine Learning
Apply
≈ $83k – $199k per year (Estimated) • Hybrid • Full-Time • London • Cambridge
Python
AI/ML
AI Agents
Machine Learning
SpaceTech
ANSYS
Apply
$190k – $286k per year • In office • San Francisco
Python
Go
JavaScript
TypeScript
Frontend
Next.js
React.js
DevOps
AWS
Web3
Privy
Apply
≈ $123k – $246k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • San Francisco
DevOps
GCP
Apply
$101k – $115k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • McLean • San Francisco • Richmond • Chicago • New York
SQL
AI/ML
Machine Learning
Apply
Founding Engineer 1 day ago
≈ $120k – $258k per year (Estimated) • Remote (United States) • San Francisco • New York
Go
JavaScript
Node JS
Databases
PostgreSQL
Frontend
React.js
DevOps
AWS
Amazon EC2
GitHub
Amazon S3
Amazon ECS
Web3
Ethers.js
Ethereum
DeFi
Apply
$160k – $230k per year • In office • Nationals only • San Francisco
Python
AI/ML
AI Agents
LLM
LLM Guardrails
DevOps
GCP
CI/CD
AWS
Kubernetes
Platform Engineering
Cybersecurity
NIST 800-171
MedTech
Design Controls
Defense
CMMC
Apply
See all jobs
This is one of many
1,997,019 more open roles from verified company boards, updated every day.