$185,000
median · per year, annualized USD
$187,500
median · per year, annualized USD
Senior Engineer, Embedded Linux Developer
Helix AI Engineer, Embedded Android Systems
Principal Embedded Security Engineer
Sr. Software Engineer, Embedded Agentic AI
Staff Embedded Firmware Engineer
Principal Embedded Software Engineer
Embedded Software Test Engineer, Onboard Test Automation
Embedded SW Engineer
Staff Embedded Linux Engineer
Senior Embedded Systems Engineer
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Sr. Machine Learning Ops Engineer
DoD MLOps Software Engineer
Sr. Machine Learning Ops Engineer
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$199,500 | 23 |
Silvus Technologies
|
$170,000 | 10 |
SpaceX
|
$142,500 | 9 |
| AX Axon | $183,300 | 7 |
Verkada
|
$245,000 | 6 |
Applied Intuition
|
$202,000 | 6 |
TP-Link Systems Inc.
|
$140,000 | 6 |
STR
|
$130,500 | 6 |
| Company | Median | Roles |
|---|---|---|
Garner Health
|
$297,500 | 2 |
Torc Robotics
|
$249,000 | 2 |
Quanata
|
$256,500 | 1 |
Roku
|
$254,875 | 1 |
LVT
|
$242,650 | 1 |
Hayden AI
|
$230,000 | 1 |
Instacart
|
$212,750 | 1 |
Cimgroup
|
$200,000 | 1 |
| Location | Median | Roles |
|---|---|---|
| Toronto | $200,750 | 4 |
| Seattle | $193,025 | 12 |
| Austin | $186,975 | 6 |
| Boston | $183,300 | 11 |
| San Francisco | $180,000 | 19 |
| Los Angeles | $180,000 | 15 |
| Denver | $177,500 | 3 |
| New York | $167,500 | 6 |
The median for Embedded Engineer is $185,000 per year (typically $155,000–$209,250), versus $187,500 for MLOps ($147,500–$236,325). That puts MLOps about 1% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Embedded Engineer and MLOps are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.