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Applied AI Engineer, Manufacturing Execution

Join Etched as an Applied AI Engineer to build systems that enhance manufacturing execution and supply chain decisions.

Location
San Jose, United States
Compensation
Not disclosed
Level
mid
Type
full time · On-site

Posted by employer 2 months ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Apply at Etched → Save job Scanned from etched.com

Skills & Technologies

AI/ML Python Flexible on stack

What you'll build

  • Build AI systems for S&OP and material planning
  • Embed with teams to create executable workflows
  • Build operational models connecting demand and supply
  • Design agents for production and quality coordination
  • Evaluate frontier models and system optimization methods

Must have

  • Comfort with Python
  • Experience with AI tooling
  • Track record of solving hard problems
  • Experience in manufacturing or supply chain

Nice to have

  • Experience with ERP/MRP, PLM, MES, or QMS
  • Experience with forecasting or constraint optimization

AI in the day-to-day

We use AI to build and ship AI hardware, enhancing decision-making in manufacturing and supply chain.

Not disclosed in this posting: compensation, years of experience, visa sponsorship.

Benefits

Wellness Benefits Daily Meals Housing Subsidy Unlimited Compute Budget Health Insurance Relocation Assistance

Joblaze summary

The Applied AI Engineer at Etched focuses on developing systems that enhance decision-making across manufacturing and supply chain processes. Proficiency in Python and experience with AI tools, particularly in building LLM-based agents, are essential for success in this role. This position is well-suited for individuals with a background in complex hardware and operations, particularly those who thrive in ambiguous environments and enjoy tackling challenging problems. Etched fosters a collaborative atmosphere where engineering and research intersect, emphasizing hands-on contributions from all team members.

Joblaze insights

  • Listed yesterday — first seen on Joblaze September 21, 2026. Last confirmed on Etched's careers page September 21, 2026.
  • AI/ML appears in 51.4% of 442 comparable mid ai/ml roles in United States; Python appears in 48.2% of 442 comparable mid ai/ml roles in United States.

Quick facts

Is the Applied AI Engineer, Manufacturing Execution role remote?
No — this is an on-site role in San Jose, United States.
Where is the role based?
Etched is hiring for this position in San Jose, United States.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Python.
What seniority level is this role?
Etched targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Applied AI Engineer, Manufacturing Execution role at Etched.

From the original posting

Job Summary

We are using AI to build and ship AI hardware. Etched’s production ramp requires thousands of interdependent, chained decisions that involve product configurations, material availability, production capacity, capital commitments, complex logistics, field deployments, customer commitments, and more. You will embed with Platform, Production, Supply Chain, Finance, and manufacturing partners to build the agentic systems that make those decisions faster and better.

You will own the development of agentic systems that loop signal to execution: understanding what Etched needs to manufacture and deliver; modelling production plans and scenarios; triaging changes and the unexpected; capturing decisions in the systems we execute through - and designing agents that augment and scale our teams. Success is measured by what we deliver, the schedules we attain, our ramp speed, and time from signal to action. Production is the product.

Etched offers a unique environment to tackle real supply-chain challenges and production decisions with frontier model capabilities: we have our own in-office cluster to run agentic systems on, all teams are in-person, and every cluster we deploy offers an opportunity to raise the bar across production. You will build the frontier systems that help us coordinate execution and learn from every build.

Key responsibilities

  • Build, deploy, and operate AI systems that run S&OP, material planning, build readiness, manufacturing partner execution, quality, logistics, and customer deployments.

  • Embed with Platform, Production, Supply Chain, Finance, and other teams to identify high-leverage decisions, turn them into executable workflows augmented by agentic systems, and own outcomes.

  • Build operational models connecting demand, product configurations, revisions, BOMs, supply, inventory, cost, capacity, builds, tests, quality, and shipments.

  • Build agents that craft executable plans considering demand, supply, capacity, inventory, capital, schedules, and risk - and keep those plans current as constraints change.

  • Propagate design changes through material exposure, sourcing, cost, factory and test readiness, production schedules, and delivery commitments.

  • Build production and quality agents that coordinate clear-to-build, work in progress, bottlenecks, testing, excursions, genealogy, containment, root-cause analysis, and corrective action.

  • Design historical replays and live evals tied to operating outcomes including forecast quality, schedule attainment, inventory, cost, yield, throughput, and resolution time.

  • Continuously evaluate frontier models and system optimization methods.

You may be a good fit if you have

  • A track record of solving hard problems across stacks and domains. You enjoy being dropped into unfamiliar territory and figuring it out

  • Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch. We care whether you ship things that work

  • Fluency using AI to learn and ramp on new problems; agentic coding tools, deep research, and frontier models are how you work, not an add-on

  • Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond just calling an AP - context engineering, tool integration, orchestration, failure analysis)

  • An eval-driven mindset: you measure whether AI systems actually work before scaling them

  • High agency and comfort with ambiguity. You can find the problem, not just solve the stated one

  • Worked in complex hardware, manufacturing, supply chain, S&OP, operations research, or enterprise planning, ideally through periods of hyperscale

Strong candidates may also have experience with

  • ERP/MRP, PLM, MES, and/or QMS

  • BOMs and ECOs, NPI and ramp, factory test, or quality systems

  • Forecasting, constraint optimization, simulation, or digital twins

Benefits

  • Medical, dental, and vision packages with generous premium coverage

    • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2,500 per month for those living within walking distance of the office

  • Daily lunch and dinner in our office

  • Unlimited compute budget subject to ROI justification

 

Standard company text repeated across Etched's postings is omitted here.

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