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Entry Level Computer Science Startup Jobs in California

... startup based in San Francisco, developing innovative hardware that rethinks human-computer ... PhD in neuroscience, biomedical engineering, machine learning, computer science, or related fields ...

Company Description Brilent is a well-funded, award winning startup located in the Silicon Valley ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

BA/BS degree in Computer Science or a related technical field * 1+ years experience in backend ... Stock in an early-stage startup * Flexible WFH and vacation policy * Employee referral program

... startup team! What You'll Do * Develop and maintain CAD modeling algorithms (editing brep data ... B.S. in Computer Science or a related field, or equivalent professional experience * Proficiency ...

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

Mathematics, Statistics, Computer Science, Physics or other STEM degrees) * Excited to learn new ... Possess a startup personality: smart, ethical, friendly, hard-working and proactive * Excited to ...

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Entry Level Computer Science Startup information

What is the difference between Entry Level Computer Science Startup vs Entry Level Software Developer?

AspectEntry Level Computer Science StartupEntry Level Software Developer
Required CredentialsBachelor's in CS or related field, internshipsBachelor's in CS or related field, internships
Work EnvironmentFast-paced, innovative startup settingCorporate or startup, project-based
Employer & Industry UsageTech startups, early-stage companiesTech companies, software firms
Common Search & ComparisonYesYes

Entry Level Computer Science Startup roles typically involve working in dynamic, innovative environments with a focus on diverse projects, often requiring adaptability. Entry Level Software Developer positions are more structured, often within established companies, focusing on specific software development tasks. Both roles require similar educational backgrounds and skills, but the work setting and project scope differ.

What are the most commonly searched types of Computer Science Startup jobs in California? The most popular types of Computer Science Startup jobs in California are:
What are popular job titles related to Entry Level Computer Science Startup jobs in California? For Entry Level Computer Science Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Startup jobs in California look for? The top searched job categories for Entry Level Computer Science Startup jobs in California are:
What cities in California are hiring for Entry Level Computer Science Startup jobs? Cities in California with the most Entry Level Computer Science Startup job openings:
Infographic showing various Entry Level Computer Science Startup job openings in California as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.
Computational Neuroscientist

Computational Neuroscientist

Tacit

San Francisco, CA • On-site

$160K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

About Tacit
We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
About the role
As a computational neuroscientist, you will develop new tools and techniques for understanding our data, extracting as much signal out as possible, and improving our technology stack. You'll be responsible for running and analyzing experiments using our system, interpreting results to inform future data collection, and improving our decoding algorithms. This role will feature hands-on work with our basic signals coming off custom hardware all the way up to studying performance scaling across large numbers of people
This position is full time, on-site in San Francisco (5 days/week)
What you'll do
  • Design, implement, and test algorithms for data feature extraction from bio-signals for use in machine learning models.
  • Rapid iteration on experiments for evaluating new hardware prototypes, data collection improvements, and to gain understanding of key aspects of our system.
  • Develop analytical tools for visualizing and understanding data quality.
  • Work with hardware and electrical engineers to improve the overall sensing stack
Requirements
  • PhD in neuroscience, biomedical engineering, machine learning, computer science, or related fields (or equivalent industry experience).
  • Fluency in Python and PyTorch.
  • Ability to collaborate effectively across different teams and rapidly adapt to new fields.
  • Experience with dimensionality reduction techniques and time series data analysis.
  • Independent work ethic, flexibility, and resourcefulness.
  • Effective communication and collaboration skills.
  • Comfortable in fast moving startup environment, excited to build independently.
Strong candidates may have
  • Strong familiarity with real-time human-machine interaction, ranging from automatic speech recognition to closed-loop neural interfaces.
  • Expertise with motor control, communication prostheses, and/or speech neuroscience.
  • Worked on consumer wearable devices.
  • Machine learning infrastructure familiarity: experiment management tracking (e.g. Hydra, WandB, Neptune) and AWS/GCP.
Compensation Range
$160,000 - $180,000/year
Benefits
  • Competitive equity package
  • Comprehensive medical, dental, and vision insurance
  • Company size: 20-30 people
  • Unlimited PTO
  • Visa sponsorship
  • 3% 401k matching