Join Our Team

We’re building the world’s first full-body ultrasound CT scanner and the spa experience that brings it to billions. If you think you can help, we want to hear from you.

Don’t see your role listed? Reach out anyway —

Engineering

Principal Software Engineer Lead Developer / Architect

What you’ll do

  1. Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability.
  2. Own core runtime foundations: distributed control, state management, fault handling, and reliability.
  3. Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes.
  4. Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints).
  5. Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes.
  6. Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress.

What we’re looking for

  • Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products.
  • Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering).
  • Track record of shipping systems that are observable, debuggable, and resilient.
  • Strong technical leadership: clarity, pragmatic trade-offs, and mentoring.

Useful experience

  • Building lean but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling.
  • High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review.
  • Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior.
  • Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI.
  • Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.
Electrical Engineer Systems / Integration / Experimentation

What you’ll do

  1. Be the generalist EE for the scanner system: integration, bring-up, debugging, and making the electrical side of the device reliable and serviceable.
  2. Own ultrasound experimentation that feeds the image reconstruction team
    • Design and execute experiment setups for transducer characterization (element sensitivity, bandwidth, cross-talk mapping, beam profile measurements) and ex vivo / phantom clinical testing.
    • Acquire, process, and analyze RF and baseband signals for data quality assessment and benchmarking.
  3. Design simple boards and adapters as needed (monitoring, power/safety, interface/conditioning), and take them from prototype through a stable revision.
  4. Prototype quickly, then harden what works: wiring/harnessing, grounding, safety interlocks, and reliable integration across subsystems.
  5. Own practical test setups and documentation (fixtures, scripts, procedures) that make experiments repeatable and results comparable over time.

What we’re looking for

  • Strong hands-on EE background with experience building, debugging, and iterating on real systems in the lab.
  • Solid understanding of signal processing fundamentals — knows what to measure, how to condition and digitize it, and how to evaluate signal quality in the context of an imaging system (SNR, bandwidth, dynamic range, artifacts).
  • Comfortable spanning system integration + occasional design work (schematics/layout reviews or light PCB design) in a fast-moving environment.
  • Ability to work at the boundary between hardware and algorithms: measure reality, communicate constraints, and help close gaps vs simulation.
  • High agency and practicality: able to set up experiments, get trustworthy data, and unblock others on a lean team.

Useful experience

  • Analog/mixed-signal, or high-speed data capture experience; strong instincts for instrumentation and noise/debugging.
  • Ultrasound or acoustic sensor handling: hydrophone calibration and field mapping, transducer impedance characterization, element-level sensitivity and bandwidth testing, acoustic coupling optimization (water path, gel, membrane interfaces).
  • Signal processing skills: spectral analysis (FFT, short-time spectra), time-frequency methods, matched filtering, envelope detection / Hilbert transforms, time-of-flight extraction, and coherent vs. incoherent averaging for SNR improvement.
  • Understanding of imaging principles or direct experience with imaging systems: beamforming concepts (delay-and-sum, synthetic aperture), point spread function characterization, resolution/contrast metrics, image artifact identification (grating lobes, side lobes, ring artifacts, motion blur).
  • Wave physics background (acoustic, EM, or optical): propagation, reflection/transmission at interfaces, attenuation and dispersion in tissue-mimicking media, near-field vs. far-field behavior, diffraction.
  • Light PCB design for simple boards (Altium/KiCad/etc.) and comfort bringing boards up on the bench.
  • Comfort aligning “device reality” with “model reality” (calibration, timing, parameter tracking, reproducibility).
  • Safety-conscious integration experience (EMI/EMC, grounding, interlocks) in complex electromechanical systems.
Senior Cloud / Data Engineer Data / Reconstruction / HIPAA

What you’ll do

  1. Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably.
  2. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls.
  3. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility.
  4. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews.
  5. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet.

What we’re looking for

  • Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability.
  • Experience shipping production systems that handle large data volumes and failure-prone networks.
  • Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments.

Useful experience

  • Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability.
  • Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails.
  • Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks.
  • Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.
Principal Machine Learning Engineer Reconstruction / Quantitative Imaging

What you’ll do

  1. Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy.
  2. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.
  3. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks.
  4. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation.
  5. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes.

What we’re looking for

  • Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains.
  • Ability to move fluidly between research prototypes and production-quality systems.
  • Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility.
  • A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications).

Useful experience

  • ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints.
  • Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts.
  • A background in computational physics or scientific computing.
  • Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging.
  • Experience in Agentic-SciML is a plus.
  • Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines.
  • Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).
Senior Software Engineer User App

What you’ll do

  1. Own end-to-end development of the User App: architecture, implementation, testing, release process, and long-term maintainability.
  2. Implement core product surfaces (Home, Scans, Schedule, Notifications, Profile) and the supporting state/data layer.
  3. Integrate cleanly with the Medical Cloud API facade: auth/session flows, polling reads, and push-to-refresh update mechanisms.
  4. Build a robust offline/read-only shell and local caching strategy for “offline-viewable” / pinned scan artifacts.
  5. Drive quality and reliability: instrumentation, error handling, performance budgets, and guardrails for high-stakes user journeys.
  6. Partner tightly with Cloud API, Cloud Recon, and Clinical Analysis to translate design requirements into shippable, testable user experiences.

What we’re looking for

  • Strong front-end engineering experience shipping production web apps with complex state, routing, and data flows.
  • Excellent product + UX judgment: can turn requirements into simple, resilient interfaces and iterate quickly with stakeholders.
  • Strong API integration discipline: typed contracts, backward compatibility, and pragmatic fault-tolerant client behavior.
  • High bar for code quality: tests, reviews, CI, and maintainable architecture on a lean team.

Useful experience

  • Experience building offline-capable apps (caching, sync semantics, and “read-only” degraded modes).
  • Privacy/security mindset for medical-adjacent workflows (least privilege, careful logging, and sensitive data handling).
  • Familiarity with service-oriented architectures and real-time-ish UI update patterns (polling + server-driven invalidation).
Quality Engineer System / Software / Hardware

What you’ll do

  1. Execute weekly system-level exploratory testing across the scanner and supporting software; log and triage issues with clear reproduction steps.
  2. Work with engineering to debug root cause and validate fixes.
  3. Help maintain the DHF and traceability between user needs, design requirements, tests, and results.
  4. Own practical test execution logistics (fixtures, test data, environments, calibration artifacts) and keep things repeatable.
  5. Help build the continuous testing strategy: automated tests where feasible, plus structured manual and system tests.
  6. Support V&V activities, including coordination with external partners as needed.

What we’re looking for

  • Strong hands-on testing instincts for complex electromechanical systems with substantial software.
  • Ability to write clear bug reports and communicate risk/impact.
  • Experience building and maintaining test plans/protocols; comfort operating lab equipment and debugging across layers.

Useful experience

  • Experience testing complex systems end-to-end (automation where it pays off, plus hands-on hardware/instrumentation).
  • Medical device or other safety-critical environments and comfort translating risk into practical test coverage.

Operations

Quality Director Medical Device / USCT

What you’ll do

  1. Own and evolve the Quality Management System (QMS) to support a regulated medical device development program, including design controls and DHF maintenance.
  2. Establish and enforce requirements traceability: user needs → design requirements → verification/validation artifacts and change control.
  3. Define and run the program-level V&V strategy (verification, validation, and test coverage), including test plans, protocols, reports, and acceptance criteria.
  4. Drive risk management activities (e.g., DFMEA / PFMEA, hazard analyses) and ensure mitigations are reflected in requirements and verification.
  5. Lead document control: reviews, approvals, training, retention, and audit readiness.
  6. Partner with engineering to make quality “native” to the dev workflow (automated testing, release gates, software configuration management).
  7. Prepare the program for audits and inspections, including hands-on audit leadership.

What we’re looking for

  • Senior experience leading quality for complex hardware + software products in a regulated environment.
  • Deep familiarity with design controls, DHF, document control, risk management, and verification planning.
  • Strong systems thinking and the ability to translate ambiguous product intent into testable requirements.
  • Comfortable collaborating directly with multidisciplinary engineering (recon/ML, embedded, mechanical, EE, cloud).

Useful experience

  • Regulated product quality leadership (ISO 13485 / 21 CFR 820 or equivalent), including audit readiness and FDA-facing work.
  • eQMS + document control fluency (e.g., Greenlight Guru) that integrates cleanly with modern engineering workflows.
Spa Project Manager Construction, Facilities, Globalization

What you’ll do

  1. Own end-to-end delivery of the physical “research spa” experience: site selection/fit-out, construction, facilities, and readiness for scanner operations.
  2. Translate product + clinical/operational requirements into a build plan: schedule, budget, procurement, dependencies, and risk register.
  3. Lead vendors and partners (GCs, architects, MEP, specialty trades, inspectors), and run weekly coordination with clear milestones and accountability.
  4. Manage facilities systems critical to the scanner experience (power, cooling, water, acoustics, shielding, safety interlocks, accessibility) and ensure they meet reliability and serviceability needs.
  5. Build repeatable playbooks for multi-site rollout (globalization): standard layouts, bills of materials, commissioning checklists, and acceptance criteria.
  6. Own commissioning and handoff: operational procedures, maintenance plans, spare parts, training, and incident response / escalation paths.

What we’re looking for

  • Proven project/program management experience delivering complex facilities or construction projects end-to-end (labs, clinics, robotics, high-end hospitality, or similar).
  • Strong vendor management and cross-functional leadership; can drive decisions across design, engineering, operations, and compliance.
  • Comfort with MEP coordination and the practical realities of building/commissioning (permits, inspections, change orders, punch lists).
  • High attention to detail, strong written communication, and an instinct for de-risking critical path items early.

Useful experience

  • Experience scaling physical locations (multi-site rollouts) with standardization, cost control, and local adaptation.
  • Exposure to regulated environments (medical devices/clinical operations) and safety programs (EHS, accessibility, privacy/PHI considerations).
  • Background in high-touch hospitality or experiential spaces where user experience and operational throughput both matter.
Operations Lead Medical

What you’ll do

  1. Own day-to-day operations for the scanner program and scanner builds in the spa: purchasing/procurement, vendor management, receiving, inventory, and logistics.
  2. Stand up lightweight production operations as we move from prototypes to repeatable builds: build planning, kitting, work instructions, and readiness checklists.
  3. Partner with Quality to ensure the operational system supports compliance: traceability, document control, training records, NCR/CAPA workflows, and audit readiness.
  4. Drive cross-functional execution for the physical spa build-out and scanner integration: schedules, dependencies, risk register, and weekly coordination with vendors and internal teams.
  5. Own the “integration glue” across facilities + device ops: commissioning plans, acceptance criteria, and operational handoff (runbooks, maintenance, spares, escalation paths).
  6. Build and track operational metrics: cost, budget, lead times, vendor performance, build throughput, and reliability of critical subsystems.
  7. Audit import/export documentation, manage contract renewals, and oversee regulatory compliance.

What we’re looking for

  • Proven operations leadership in hardware/medical/robotics (or similarly complex electromechanical products), including procurement and vendor management.
  • Strong program management instincts: can run schedules, unblock cross-functional dependencies, and keep priorities clear under ambiguity.
  • Comfort operating in quality/regulatory environments and building processes that are rigorous without slowing a small team.
  • High ownership and bias to action: can jump between spreadsheets, docks, and the lab/site to keep the program moving.

Useful experience

  • Experience running prototype-to-production transitions (NPI, EVT/DVT/PVT-style builds, CM/EMS collaboration).
  • Facilities / construction operations experience (GC coordination, MEP commissioning, site readiness).
  • Familiarity with inventory systems and procurement tooling (even “simple but disciplined”).

All Positions

  • Full-time, benefited
  • In-person in San Francisco, CA (hybrid possible situationally)
  • Mission: build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.

Interested in any of these roles — or think you can help in another way? Email us at