Skip to content
Hadrian

Process Controls Engineer, Sensing & DAQ

Los Angeles, CAOnsite · United States
FullTime · Engineering, Product, Design
POSTED 12 NOVVERIFIED 22M AGO
Apply Ask
Role
0 days opentrue age
Closes in ~48d at the median (48d)
Posted 12 Nov · n=10
Payats field
$268k–321kposted
▲ +108% vs market median $142k
$120k$321k
Market p25–p75
$120k–$165k
Hadrian p25–p75
$144k–$185kn=47
Los Angeles · n=604 · 365d to 12 Nov
CompanyHadrian →
169open roles
Opened · 30d
+16
Closed · 30d
−10
10d of snapshots · 30d window
Market
37,802open · Software engineering
Opened · 7d
+3,86310% of open
All software engineering
75,455open
All tracked boards · live 12 Nov · n=37,802
PythonC++

Hadrian - Manufacturing the Future

Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost.

Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.

Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.

If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.

The Role

Applied Physical Systems is a small, cross-functional engineering team at Hadrian. We build technology that spans more than one manufacturing capability, needs hardware and software designed together, and can't be bought off the shelf. We take a solution from proof of concept through prototype to a first production-ready version, then hand it to the teams that run it at scale. Engineers on the team design, build and commission their own systems on the factory floor.

You will lead how Hadrian measures its machines and processes, from sensor selection to data that engineers can act on. Your time will split between designing acquisition hardware and software, instrumenting equipment on the factory floor, and analyzing the signals you collect. You will work with process and manufacturing engineers to learn which failures matter, with data and software teams on how process data is stored and used, and with controls engineers as the work moves toward closed-loop control.

What You’ll Do

Design vendor-agnostic data acquisition (DAQ) systems, covering sensors, signal conditioning, time base, edge compute, storage and APIs

Instrument manufacturing equipment and processes, and reuse the same platform across machines

Specify sensors, placement and front-end electronics against noise and bandwidth budgets

Synchronize process signals with robot and machine position and state

Build signal-processing pipelines that turn raw data into features and process state

Work with process engineering teams to turn failure modes into measurement requirements

Decide when COTS hardware is enough, and design or contract custom electronics when it is not

Develop monitoring and closed-loop control of physical processes

What We’re Looking For

Bachelor's degree in electrical, computer or mechanical engineering, physics, or a related field

Strong electrical fundamentals, including grounding, shielding and noise in measurement systems

Software engineering in Python and C or C++, including version control and testing

Control fundamentals, with experience in feedback control of a physical process

Experience selecting, placing and calibrating sensors across force, vibration, acoustic, optical, thermal and electrical measurements

Experience with digital signal processing, including filtering, spectral analysis and feature extraction

Experience designing multi-channel DAQ systems, including sampling, triggering and time synchronization

Experience writing embedded or real-time software on microcontrollers, FPGAs or real-time controllers

Comfort working on the factory floor with operators and process engineers to learn what needs measuring

Daily use of AI tools for analysis, firmware and documentation, with experience reviewing and verifying outputs for quality and completeness

What Will Set You Apart

Training and validating data-driven process models, such as anomaly detection or defect classifiers

Source · HadrianFirst seen 12 NovOriginal ↗