Computational Imaging and Signal Processing Engineer
San Francisco Bay Area$185k - $260kFull-timePosted 3w ago
About the role
Frontend summary: A full-time on-site role in the Applications department focusing on building and maintaining a shared imaging core to convert raw ultrasound data into image series, optimizing and validating reconstruction methods, and enabling real-time and large-scale offline processing within power and compute constraints at Merge Labs.
Responsibilities
- Develop reusable methods for beamforming/backprojection, clutter filtering, and motion and displacement estimation within a shared imaging core for processing and optimization.
- Optimize imaging pipelines through controlled experiments, balancing sensitivity, robustness, and computational cost.
- Rigorously validate imaging pipelines using reproducible benchmarks, reference measurements, and regression tests, quantifying performance and uncertainty even when ground truth is limited.
- Produce reliable imaging results, analyze them rigorously, and present findings concisely with their quality and limitations explicit.
- Meet sustained throughput and latency targets for real-time and large-scale offline processing within compute and memory budgets.
- Use measured imaging performance and system limits to shape device and acquisition requirements.
- Explore learned methods, including deep learning, and integrate them when independent evaluation shows a useful improvement over strong baselines.
Qualifications
- Strong signal-processing and computational-imaging fundamentals, with deep experience in at least one imaging or sensing modality.
- Experience developing or materially improving reconstruction methods that others use.
- Strong scientific Python skills and experience profiling and improving GPU performance and memory use for large datasets or high-rate data streams.
- Experience designing and maintaining shared scientific software, with clear interfaces, tests, and documentation.
- Sound judgment in experimental design, optimization, and interpreting measurements.
- A track record of rigorous validation and honest reporting of uncertainty, limitations, and negative findings.
- Experience turning ambiguous scientific needs into useful engineering results with colleagues across disciplines.
Skills
Required:Beamforming / backprojectionClutter filteringMotion and displacement estimationPythonGPU performance optimizationSoftware design and documentationExperimental design and validationCross-disciplinary collaboration
Benefits
- Offers Equity
- Compensation: $185K – $260K
Last updated Sep 30, 2026. Interested? Apply on the company site.
About Merge Labs
Introducing Merge Labs
Meet Merge Labs – a research lab with the long-term mission of bridging biological and artificial intelligence to maximize human ability, agency, and experience.
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