Open Positions
ML Engineer
Reimagining Machine Intelligence from the Inside Out
Omen is building the “Digital Mechanic” platform—an intelligent diagnostic layer that helps industrial machines monitor and maintain themselves.
We combine field-hardened sensor hardware with a modern software stack to surface high-signal insights for industrial machine operators, OEMs, and defense applications. Your work will help heavy equipment speak for itself—and stay mission-ready.
Location:
San Francisco, CA. (5 Days In-Office)
Team:
Engineering – Software & Data
Comp Range:
180K–250K Base + Meaningful Equity
Benefits:
Fully paid healthcare premiums + dental & vision, Dinners Included Daily.
why now?
Customers on Day 1: We’re deployed in the field with multiple Fortune 500’s.
Unique Dataset: We're collecting live, high-frequency time series data from embedded sensors inside real-world machines—an untapped goldmine for predictive modeling.
Define the System: Help shape the way our platform understands machine failure—from raw signal to real-time alert.
All Star Team: Really talented team focussed on solving a real problem. Substantial backing from both strategic corporates and T1 firms.
What you’ll build
- Feedback loops that guide hardware and firmware improvements based on model gaps and real-world behavior.
- Prediction pipelines that use sensor data to detect leaks, wear, contamination, and failure modes before they happen.
- Signal processing and feature extraction layers that turn raw physical signals into usable ML inputs.
- Diagnostic models that improve over time as we gather more field data.
- Internal tools that surface the right data to engineering, ops, and customer teams.
you might be a fit if you
- Have built and shipped predictive models based on sensor, IoT, or time-series data.
- Have 5+ years of experience in data science, machine learning, or applied research.
- Understand the limitations and challenges of real-world data—missing values, noise, drift, and hardware quirks.
- Can advise on what types of data are needed to make certain predictions, and what the hardware may be missing.
- Are comfortable working in fast-paced, ambiguous startup environments and iterating quickly.
what you’ll get
Founding Seat: Be the first dedicated Data Scientist shaping our ML and analytics strategy from day one.
Deep Tech Stack: Work across embedded systems, edge computing, cloud infrastructure, and modern ML.
Ownership & Impact: Your work will directly influence our core product and how it delivers value to customers.
Equity & Growth: Competitive compensation and meaningful equity upside.
Real-World Challenge: Build models that work not just in notebooks—but in the dirt, dust, and field.
Senior Firmware Engineer
Reimagining Machine Intelligence from the Inside Out
Omen is building the “Digital Mechanic” platform—an intelligent diagnostic layer that helps industrial machines monitor and maintain themselves.
We combine field-hardened sensor hardware with a modern software stack to surface high-signal insights for industrial machine operators, OEMs, and defense applications. Your work will help heavy equipment speak for itself—and stay mission-ready.
Location:
San Francisco, CA. (5 Days In-Office)
Team:
Engineering – Sensors & Data
Comp Range:
180K–250K Base + Meaningful Equity
Benefits:
Fully paid healthcare premiums + dental & vision, Dinners Included Daily.
why now?
What you’ll build
- Scale our IoT fleet and lead firmware engineering from 10s of devices to 1000s as well as own future sensor SKUs—bootloader, field-upgrade system, diagnostics, and telemetry.
- Build robust and reliable firmware with watchdogs, safe-mode fall-back, OTA rollback, and remote shell/debug tooling, hardened design for long life in the field.
- Design and implement observability pipelines that surface device health (power, RF, flash wear, sensor drift) in near-real time.
- Define, develop, and support production test fixtures and factory programming flows to guarantee every unit ships with known-good firmware and fully functional hardware.
- Partner with Cloud, Embedded, and Mechanical teams to reduce MTTR and maximize fleet uptime; deliver root-cause analysis for field failures.
- Create the playbooks, metrics, and dashboards that let us triage thousands of endpoints
- Lead firmware efforts for NPI with scoping, prototyping, and resourcing the development of new technologies.
- Mentor junior embedded engineers; champion best practices in code review, CI for firmware, and secure-by-default design.
you might be a fit if you
- 5+ years building and shipping production firmware for low power MCUs/System-on-Modules.
- On-site experience supporting contract manufacturing production including flashing, test, and quality.
- Led the rollout and lifecycle management of a commercial IoT fleet (>5 k devices): staged OTA, remote logging, field metrics, and bricking-proof recovery.
- Authored device-side observability frameworks (health beacons, crash dumps, metrics pipelines).
- Implemented secure boot, signed updates, and key management in resource-constrained environments.
- Fluent in C/C++, and at least one higher-level language (Python, Go, Rust) for build or test tooling.
- Comfortable reading schematics, probing with a scope/logic analyzer, and collaborating with HW teams on DFM and EMC fixes.
- Hands-on experience with cellular/LTE-M and/or Wi-Fi connectivity stacks and the quirks of keeping them online in harsh RF conditions.
- Proven bias for ownership in ambiguous, fast-changing settings; you dig into data, form a plan, and push it through to production.