Top 156 Software engineer anthropic salary Jobs in San Francisco, Ca

Software Engineer, Research Infrastructure
Anthropic —San Francisco, CA
- $405,000 - $625,000 a year
- Hybrid work
- System design
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
3d
Software Engineer, RL Data
Anthropic —San Francisco, CA
- $320,000 - $485,000 a year
- Hybrid work
- Office
- Bachelor's degree
- APIs
- Parental leave
- Flexible schedule
Staff+ Software Engineer, Account Abuse
Anthropic —San Francisco, CA
- $320,000 - $485,000 a year
- Hybrid work
- Computer science
- Computer Science
- Research
- Parental leave
- Flexible schedule
Software Engineer, Human Data Interface
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- System design
- Mid-level
- Office
- Parental leave
- Flexible schedule
Staff+ Software Engineer, Enterprise
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Azure
- Office
- AWS
- Parental leave
- Flexible schedule
8d
Senior Staff Software Engineer, API
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Azure
- 11+ years
- Office
- Parental leave
- Flexible schedule
Software Engineer, Fullstack
Hex Technologies —San Francisco, CA
- $198,000 - $295,500 a year
- Hybrid work
- Mid-level
- Office
- SQL
- Health insurance
- Paid time off
AI Software Engineer
Gallatin —San Francisco, CA
- $80,000 - $210,000 a year
- Full-time
- Mentoring
- APIs
- Senior level
- Health insurance
- 401(k)
Staff Software Engineer, Accessibility
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- 7 years
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
Staff+ Software Engineer, Backend
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Office
- 8 years
- Bachelor's degree
- Parental leave
- Flexible schedule
Staff Software Engineer, AI – San Francisco
Flow Engineering —San Francisco, CA
- $190,000 - $280,000 a year
- Full-time
- Mid-level
- 3 years
- Python
- Health insurance
- Dental insurance
Staff+ Software Engineer, Platform
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Azure
- System design
- Office
- Parental leave
- Flexible schedule
Senior Software Engineer, Investigative Agent
Flock —San Francisco, CA
- $170,000 - $200,000 a year
- Email
- Remote
- Background check
- System design
- SQL
- Paid parental leave
- Health savings account
Software Engineer, Backend (Product)
Hex Technologies —San Francisco, CA
- $198,000 - $295,000 a year
- Remote
- System design
- AWS
- Senior level
- Health insurance
- Paid time off
Staff+ Software Engineer, Privacy
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Parental leave
- Flexible schedule
Full-Stack Software Engineer, Reinforcement Learning
Anthropic —San Francisco, CA
- $300,000 - $405,000 a year
- Hybrid work
- Office
- AWS
- Bachelor's degree
- Parental leave
- Flexible schedule
Staff+ Software Engineer, Full-stack
Anthropic —San Francisco, CA
- $405,000 - $485,000 a year
- Hybrid work
- Office
- 8 years
- Bachelor's degree
- Parental leave
- Flexible schedule
Software Engineer, Foundations
Hex Technologies —San Francisco, CA
- $215,000 - $270,000 a year
- Overtime
- Remote
- 5 years
- System design
- SQL
- Health insurance
- Paid time off
Software Engineer, Cybersecurity Products
Anthropic —San Francisco, CA
- $320,000 - $405,000 a year
- Hybrid work
- 7 years
- Office
- Analysis skills
- Parental leave
- Flexible schedule
Software Engineer, Agent
Vercel —San Francisco, CA
- $232,000 - $348,000 a year
- Full-time
- 7 years
- System design
- Mid-level
- Health insurance

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Software Engineer, Research Infrastructure

Anthropic -
San Francisco, CA

Apply Now

Job Details

$405,000 - $625,000 a year
3 days ago

Benefits

Parental leave
Flexible schedule

Qualifications

Software engineering
Managing projects in an engineering role
Software coding
System design
Scalable systems
Infrastructure architecture design
Production systems
Application design
Design engineering
Systems engineering
Scalability
Distributed computing
Project stakeholder communication
Cross-functional communication

Full 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 Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.

This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you.

You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace.

Responsibilities

Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve
Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system
Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams
Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic
Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change
Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design
Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase
Help set technical standards and best practices for the team, and mentor other engineers

Minimum Qualifications

Experience designing, building, and operating large-scale distributed systems or infrastructure in production
A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
Strong software engineering fundamentals and hands-on coding ability
Experience making architectural decisions that other engineers and teams build on top of
Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
Demonstrated ability to operate effectively in ambiguous, fast-changing environments

Strong candidates may also have

Experience building infrastructure or platforms specifically for research or machine learning workflows
Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems
Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy
Prior experience as a technical lead or mentor for other engineers

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 - $625,000 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.

We encourage you to apply even if you do not believe you meet every single qualification. 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 from @anthropic.com email 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—visit anthropic.com/careers directly 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 about our policy for using AI in our application process.

Apply Now

Refine Your Search

software engineer anthropic salary jobs in san francisco, ca

Software Engineer, Research Infrastructure

Software Engineer, RL Data

Staff+ Software Engineer, Account Abuse

Software Engineer, Human Data Interface

Staff+ Software Engineer, Enterprise

Senior Staff Software Engineer, API

Software Engineer, Fullstack

AI Software Engineer

Staff Software Engineer, Accessibility

Staff+ Software Engineer, Backend

Staff Software Engineer, AI – San Francisco

Staff+ Software Engineer, Platform

Senior Software Engineer, Investigative Agent

Software Engineer, Backend (Product)

Staff+ Software Engineer, Privacy

Full-Stack Software Engineer, Reinforcement Learning

Staff+ Software Engineer, Full-stack

Software Engineer, Foundations

Software Engineer, Cybersecurity Products

Software Engineer, Agent

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Strong candidates may also have

Logistics

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