Senior Manufacturing Engineer, Chassis Fabrication
Fluidstack · New York
- Level
- Senior
- Team
- Manufacturing
- Industry
- Industrial
- Posted
- Recently
The role in 30 seconds
A senior manufacturing role at Fluidstack (industrial) in New York. You've been the manufacturing engineer for heavy fabrication or weldment production.
- Tools it names
- FMEA, Welding, Tooling
Read from the posting. The full description is below.
From the plant jobs report · week of November 2, 2026
Manufacturing Engineer roles in New York: typical posted base $87k–$126k.
Median of the low and high ends of 52 live postings that list pay, out of 88 manufacturing engineer openings in New York, read from manufacturers' own careers sites.
New York plant jobs report →Pay by team and state →What moves pay →
How this role compares
Against 87 other live manufacturing postings in New York.
- Base pay
- Not listed in this posting
- Experience asked
- Not stated
Typical $86k–$125k, from 49 postings that list pay.
Similar roles usually ask 5+ years.
Skills these teams ask for most
- ✓ Tooling 43%
- Root cause 36%
- Lean 32%
- Automation 32%
- Team leadership 24%
- Cost reduction 22%
✓ = this posting asks for it too. % = share of similar postings that mention it.
Stands out: this posting asks for FMEA, Welding, which few similar roles mention. If you have it, lead with it.
At a glance
Pulled from the posting text. If it's not listed here, the posting didn't say.
How to get in at this plant
Five moves over a week or two. The first one takes ten minutes.
- 1
Pick 2–3 people on the Manufacturing team at Fluidstack
Engineers who joined in the last year or two reply the most. Use the team search on this page to find them.
- 2
Send a short, curious note
One real question about their work. No favors yet. Each person gets a different note, written for this role.
- 3
Turn a reply into a short call
Questions worth asking about this team:
- What does a normal week look like on your team?
- Is the work mostly new product launches or sustaining existing lines?
- How much time do you spend on the floor versus at a desk?
- How did you land the job? What stood out in your interviews?
- 4
Apply with someone vouching for you
If the call went well, ask whether they’d pass your résumé to the hiring manager. Send your résumé link, apply that day, and let them know.
- 5
Bring proof to the interview
One page of before-and-after numbers from projects you led: scrap, OEE, cycle time, cost. Plant managers hire on results.
Full description from FluidstackAs posted on their careers site.ShowHide
Requirements
- ✓Work in non-climate-controlled environments, including active construction areas, data halls, electrical and mechanical rooms, and outdoor spaces. Temperatures can be high or low, and conditions can be humid, loud or dusty.
- ✓Lift, carry, push and pull up to 40 pounds on your own.
- ✓Sit, stand, walk, kneel, bend and crouch for long periods, including full shifts on your feet.
- ✓Wear the required personal protective equipment (PPE), such as hard hats, safety glasses, steel-toed boots, gloves and hearing protection, and follow site safety rules.
- ✓Climb stairs and ladders, and move around equipment, cable trays and uneven surfaces.
We are committed to pay equity and transparency.
AI Screening Notice
Ashby Bias Audit
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
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About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
How We Operate
- •Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
- •Insane urgency. We drive everything forward as fast as possible.
- •Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
- •Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
- •Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.
Role Scope
- •Own manufacturing engineering for chassis fabrication: the processes turning steel into module frames at takt.
- •Develop the process plans: routings, work instructions, fixtures, and cycle times for weld-heavy fabrication.
- •Launch new lines and product revisions: PFMEAs, capability runs, and ramp curves you own.
- •Drive yield and cost: scrap, rework, and cycle time attacked with data weekly.
What We're Looking For
- •The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would .
- •You've been the manufacturing engineer for heavy fabrication or weldment production.
- •You've launched fabrication lines or major process changes to rate.
- •You write work instructions operators actually use.
- •You run PFMEAs that predict the real failures.
- •You've cut cycle time on a process everyone said was optimized.
- •Bonus: Welding process depth. Fixture design. Tekla or CAD fluency. Takt-based production systems.
Physical
