Full Stack Software Engineer

Wispr is building a more natural way to interact with technology with neural interfaces. We're building a team of world-class scientists, engineers, and product designers to make that a reality.

So far, we've raised 14.6M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Ben Jones (COO, CTRL-Labs), Dave Gilboa (CEO, Warby Parker), and Jose Carmena (Berkeley professor; co-CEO iota). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding.

We're hiring in SF Bay Area / Remote.

As a software engineer at Wispr, you work closely with neuroscientists and machine learning engineers to design the research platform to acquire and process real time data to develop high-bandwidth neural interfaces. You will develop and own the backend, cloud infrastructure and the web application — the hub of research and engineering work that will be used by every single engineer at Wispr, every day, as we push forward the frontiers of technology.

We value being action-biased and a hacker mindset to build things quickly. We use the best and latest tools to get the job done. We maintain beautifully organized codebases with minimal technical debt. We work with a pragmatic outlook at the frontiers of technology, bringing it to the hands of millions of people. If that interests you, we'd love to hear from you!

Come join us and make magic happen.

Core Job Responsibilities

• Build the web platform that will be the hub of our research and engineering efforts.
• Setup the cloud infrastructure for the platform and machine learning pipelines
• Architect a highly performant multi-threaded Python backend to serve the web platform
• Develop interactive WebGL and data visualizations for researchers to better understand the data in real time
• Setup best engineering practices for the software engineering team

Required Knowledge/Skills, Education, And Experience

• MS or BS in computer science or related engineering field
• 2+ years hands-on relevant engineering experience in software or data engineering
• Proficient in Python, React, AWS; Built full stack apps from scratch
• Strong programming practices and high-throughput of code across the stack
• Organized, self-directed, efficient
• Experience working collaboratively with teams: we believe in working collectively towards a common goal

Nice to have Knowledge/Skills, Education, And Experience

• Low level systems hacking experience, parallel programming experience
• Experience working on data pipelines for time series data, speech recognition, audio data, generative models, or NLP
• Experience with data science, visualizations, and machine learning

Why Wispr?

• Design the next generation of personal computing in a creative, innovative, and collaborative environment.

• Work closely with a world-class team.

• Flexible work arrangements to support you in working in the way that you work best.

For full-time employees:

• Generous health, dental, and vision coverage

• Generous parental leave, unlimited PTO (we encourage taking days off!)

• 401k match

• Commuter benefits

• Relocation assistance

• Total compensation for this position may also include stock options and other potential future incentives

At Wispr, diversity is important to us.

At Wispr, we believe that true innovation starts with people from diverse backgrounds coming together, bridging ideas, and collaborating. Wispr is proud to be an Equal Employment Opportunity employer and is committed to providing an environment of mutual respect where employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law.