Quartermaster AI is seeking an experienced RF/DSP Engineer to build the digital signal processing ... Proficiency in Python for algorithm prototyping, simulation, and test automation. * Active Secret ...
Quartermaster AI is seeking an experienced RF/DSP Engineer to build the digital signal processing ... Proficiency in Python for algorithm prototyping, simulation, and test automation. * Active Secret ...
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Senior Algorithm Engineer information
See Washington salary details
$67.4K - $80.2K
1% of jobs
$80.2K - $92.9K
3% of jobs
$92.9K - $105.7K
7% of jobs
$118.2K is the 25th percentile. Wages below this are outliers.
$105.7K - $118.5K
14% of jobs
$118.5K - $131.2K
17% of jobs
The median wage is $136.5K / yr.
$131.2K - $144K
19% of jobs
$144K - $156.8K
13% of jobs
$158.4K is the 75th percentile. Wages above this are outliers.
$156.8K - $169.5K
11% of jobs
$169.5K - $182.3K
7% of jobs
$182.3K - $195.1K
5% of jobs
$195.1K - $207.8K
3% of jobs
$67.4K
$143.3K
$207.8K
How much do senior algorithm engineer jobs pay per year?
What is the difference between Senior Algorithm Engineer vs Data Scientist?
| Aspect | Senior Algorithm Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, EE, or related; strong math and programming skills | Bachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills |
| Work Environment | Develops algorithms for software, hardware, or embedded systems in tech companies | Analyzes data to extract insights, often in tech, finance, or healthcare sectors |
| Industry Usage | Common in AI, robotics, and software development | Prevalent in analytics, machine learning, and business intelligence |
While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.
What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?
What are the key skills and qualifications needed to thrive as a Senior Algorithm Engineer, and why are they important?
What does a Senior Algorithm Engineer do?

Senior Digital Signals Processing and Algorithms Engineer
Quartermaster AI IncArlington, VA • On-site
Full-time
Posted 28 days ago
Job description
At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently impossible. Our distributed open-ocean systems enable every vessel to sense, compute, and communicate, enhancing maritime domain awareness for those who need it most.
Job Description:
Quartermaster AI is seeking an experienced RF/DSP Engineer to build the digital signal processing foundation of our radiofrequency sensing platform. This is a ground-floor role: our DSP pipeline is early-stage, and you will build the primary architecture and implementation of the algorithms that turn raw RF into maritime domain awareness and insights.
You will work closely with our RF hardware and embedded systems engineers to implement signal processing algorithms on edge compute hardware, and with ML/AI engineers to deliver conditioned, feature-rich data that feeds downstream detection and classification pipelines.
Key Responsibilities:
- Design and implement the end-to-end DSP pipeline from raw IQ sample ingestion through spectral analysis, channelization, filtering, and feature extraction.
- Implement and validate algorithms multi-sensor RF geolocation algorithms.
- Build and maintain signal detection, framing, and classification primitives that serve as inputs to downstream ML pipelines.
- Write optimized signal processing code in C/C++ targeting embedded processors and FPGA soft-core environments on edge hardware.
- Experience porting DSP workloads to server-class or cloud compute environments.
- Profile and optimize algorithms for latency, throughput, and power within tight edge compute budgets.
- Define and implement data pipeline interfaces between the edge layer and cloud/server-side processing, including IQ data formatting, metadata schemas, and transport protocols.
- Contribute to system-level design reviews, interface control documents, and technical roadmap planning.
- Bachelor's or Master's degree in Electrical Engineering, Signal Processing, Applied Mathematics, or a closely related field.
- 5+ years of hands-on DSP algorithm development for RF applications.
- Strong proficiency in C/C++ for performance-critical, embedded or near-real-time signal processing.
- Demonstrated experience implementing and validating geolocation algorithms.
- Deep understanding of spectral analysis, digital filtering, synchronization, and coherent signal processing fundamentals.
- Experience with software-defined radio platforms and IQ data processing workflows.
- Proficiency in Python for algorithm prototyping, simulation, and test automation.
- Active Secret clearance or demonstrated ability to obtain one.
- Familiarity with FPGA DSP pipelines (HLS, IP cores, or HDL-level signal processing integration).
- Experience building DSP algorithms or pipelines for RF signals in the maritime domain.