A Staff+ Software Engineer, STEM Anthropic · San Francisco, CA, US Principal Go

ContentBuffer; San Francisco (CA); On-site; USD 405,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation

Parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic in San Francisco seeks a technical leader to own the end‑to‑end design and delivery of Claude-powered AI products. You will translate scientific goals into practical tools for researchers and engineers, balancing speed with reliability.

Collaborating with product, design, and research, you will simplify complex workflows, guide technical direction, and ship features quickly rather than merely executing a spec.

Qualifications

• Software engineering experience with end-to-end product delivery.
• Experience shipping 0→1 in fast-moving environments.
• Experience building AI products and applying model capabilities to apps.
• Ability to design user experiences for scientists and engineers.
• Comfort working with domain experts and customers to turn learnings into product.
• Enjoy solving hard problems with researchers and engineers.

Responsibilities

• Build products that unlock scientific discovery.
• Partner with product management, design, and GTM to simplify complex workflows with Claude.
• Collaborate with research to improve models for science and engineering.
• Engage with users in academia and industry to decide what to build next.
• Own technical design and end-to-end delivery, shipping rapidly.

Skills

End-to-end product delivery

AI product development

0→1 product building

User-centric design for scientists/eng

Cross-functional collaboration

Stakeholder management

Education

Bachelor’s degree or equivalent

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future.

Claude has already helped uncover a novel enzyme system, formalize Fermat’s Last Theorem, design more efficient quantum circuits, and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1.

You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields.

Key responsibilities

• Build products that unlock scientific discovery
• Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude
• Work closely with research to make models better at science and engineering
• Spend time with users in academia and industry to decide what to build next
• Own technical design and delivery end to end, shipping product quickly rather than just executing a spec

Minimum qualifications

• Software engineering experience, including owning the technical design and delivery of products
• Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on
• Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use
• Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use
• Comfort working directly with technical domain experts and customers, and turning what you learn into product
• Enjoyment of solving hard problems together with researchers, scientists, and other engineers

Preferred qualifications

• 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
• Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field
• Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools
• Experience as a founder or early engineer at a company building tools for scientists or engineers
• Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000—$485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you [e-mail] addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visitanthropic.com/careersdirectly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn aboutour policy for using AI in our application process.