Science is a clinical stage, vertically integrated technology company focused on solving some of neuroscience’s hardest questions and most serious unmet medical needs. We work to restore quality of life to those with debilitating conditions for which there are no treatment options, creating devices aimed at restoring vision, cognition, and mobility to patients who have lost it. To support progress across our industry, we provide state-of-the-art components and vertically integrated infrastructure for others to build on via Science Foundry.
Science is developing SciFi, a ruggedized neural recording headstage, and the accompanying SDK, synapse. This platform will enable neuroscientists, researchers, and medical device implementers to write high-performance code that runs directly on the device. We are looking for an experienced systems software engineer to join onsite in Alameda, CA to help build out both the SciFi hardware platform and its software ecosystem. This represents a new way to think about neural recording and processing. We are moving away from bulky, centralized recording setups towards distributed, edge-based computation. You will be building the foundation that allows users to implement real-time neural signal processing, decoding inference, and low-latency streaming directly on SciFi. We’re looking for technical and product judgement above all: can you ask the right questions to understand how neuroscientists think about their experiments, then turn around and build performant systems and APIs that make sense for their workflows, quickly?
Key Qualifications- 3+ years systems programming experience in C++, Rust, or similar low-level languages
- Proficiency with Linux development and debugging tools
- Experience with hardware interfaces, device drivers, or embedded systems
- Understanding of real-time systems and low-latency programming
- Experience with multithreading programming and concurrency
- Experience building APIs, SDKs, or developer platforms
- Background in high-performance computing, game engines, or real-time media systems
- Experience with networking protocols and data streaming
- Knowledge of signal processing or DSP programming
- Previous work on IoT devices, robotics, or similar embedded systems
- Experience with scientific instrumentation or data acquisition systems
- Background in medical devices or regulated environments
- Familiarity with wireless communication protocols
Science is required under California law to include a reasonable estimate of the compensation range for this role. We determine your level based on your interview performance and make an offer based on the indicated salary band. The base salary range for this full-time position is $113,000 – $210,000 annually + equity + benefits. Within the range, individual pay is determined by several factors, including job-related skills, experience, and relevant education or training. Please keep in mind that the equity portion of the offer is not included in these numbers.
Benefits:
At Science, our benefits are in place to support the whole you:
- Competitive salary and equity
- Medical, dental, vision and life insurance
- Flexible vacation and company-paid holidays
- Healthy meals and snacks provided for non-remote employees
- Paid parental, jury duty, bereavement, family care and medical leave
- Flexible Spending Account and Dependent Care Flexible Spending Account
- Childcare subsidy by Science
- 401(k)
Science Corporation is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work.
We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Science will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.
Top Skills
What We Do
Science is an early stage company developing technologies for a range of serious unmet medical needs. We are unafraid to take difficult technical risks, secure in the knowledge that with a clear understanding of what we are doing and with support from powerful modern tools, more progress is possible than might be immediately obvious.
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