Top 3339 Infrastructure engineer Jobs in Benicia, 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
Systems Engineer III
Northbay Healthcare —Fairfield, CA
- $72.58 an hour
- 8 hour shift
- Hybrid work
- Schematics
- System design
- HIPAA
- 403(b) matching
- Health insurance
Platform Engineer - System Infrastructure Engineer
Bay Systems Consulting Inc. —Berkeley, CA
- $90 an hour
- Contract
- Master's degree
- Bachelor's degree
- Experience equivalent to degree accepted
Quick Apply
Infrastructure Verification Engineer
TechBiz Global GmbH —Vacaville, CA
- Full-time
- Remote
- Mid-level
- Analysis skills
- Linux
Quick Apply
Infrastructure Engineer III
JPMorganChase —San Francisco, CA
- $118,750 - $160,000 a year
- Full-time
- Databases
- Senior level
- 2 years
- Health insurance
- Tuition reimbursement
Infrastructure Engineer
Komodo Health —San Francisco, CA
- $154,000 - $195,000 a year
- On call
- Hybrid work
- HIPAA
- SQL
- AWS
Quick Apply
Infrastructure Engineer
Reducto —San Francisco, CA
- $150,000 - $300,000 a year
- Full-time
- 5 years
- Office
- Continuous improvement
- Dental insurance
- Parental leave
Infrastructure Engineer
LatchBio —San Francisco, CA
- $180,000 - $250,000 a year
- Full-time
- Mid-level
- Office
- Quality control
- Health insurance
- 401(k)
Quick Apply
8d
Infrastructure Engineer
Fab2 —San Francisco, CA
- $125,000 - $195,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Commuter assistance
- Paid parental leave
Backend Infrastructure Engineer
Firecrawl —San Francisco, CA
- $200,000 - $250,000 a year
- Full-time
- Hybrid work
- Mid-level
- 3 years
- US work authorization
- Commuter assistance
- Disability insurance
Infrastructure Engineer
WorkOS —San Francisco, CA
- $175,000 - $275,000 a year
- Full-time
- Remote
- 5 years
- Databases
- AWS
- Commuter assistance
- Paid parental leave
Infrastructure Engineer
Gallatin —San Francisco, CA
- $80,000 - $210,000 a year
- Full-time
- Azure
- System design
- Office
- Health insurance
- 401(k)
Infrastructure Engineer
Tamarind Bio —San Francisco, CA
- Full-time
- Azure
- DevOps
- System design
Staff Infrastructure Engineer
Tools for Humanity —San Francisco, CA
- $276,500 - $300,000 a year
- Full-time
- AWS
- Software development
- Senior level
- Commuter assistance
- Health insurance
Infrastructure Operations Engineer
Lightning AI —San Francisco, CA
- $160,000 - $200,000 a year
- On call
- Office
- AWS
- Software development
- Paid parental leave
- Health insurance
Quick Apply
14d
IT Support Engineer
Anthropic —San Francisco, CA
- $230,000 - $265,000 a year
- On call
- Hybrid work
- Google Workspace
- 7 years
- Office
- Parental leave
- Flexible schedule
10d
Infrastructure Engineer (Storage)
Lightning AI —San Francisco, CA
- $180,000 - $220,000 a year
- 5 years
- System design
- Office
- Paid parental leave
- Health insurance
Quick Apply
Founding Platform & Infrastructure Engineer
Mercator —San Francisco, CA
- $160,000 - $230,000 a year
- Full-time
- Databases
- US work authorization
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Software Engineer, Infrastructure, Consumer Devices
OpenAI —San Francisco, CA
- $325,000 - $440,000 a year
- Full-time
- Azure
- 8 years
- AWS
Backend Engineer
HeyGen —San Francisco, CA
- $170,000 - $220,000 a year
- Azure
- Computer Science
- System design
- Health insurance
- Paid time off

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Software Engineer, Research Infrastructure

Anthropic -
San Francisco, CA

Apply Now

Job Details

$405,000 - $625,000 a year

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

infrastructure engineer jobs in benicia, ca

Software Engineer, Research Infrastructure

Systems Engineer III

Platform Engineer - System Infrastructure Engineer

Infrastructure Verification Engineer

Infrastructure Engineer III

Infrastructure Engineer

Infrastructure Engineer

Infrastructure Engineer

Infrastructure Engineer

Backend Infrastructure Engineer

Infrastructure Engineer

Infrastructure Engineer

Infrastructure Engineer

Staff Infrastructure Engineer

Infrastructure Operations Engineer

IT Support Engineer

Infrastructure Engineer (Storage)

Founding Platform & Infrastructure Engineer

Software Engineer, Infrastructure, Consumer Devices

Backend Engineer

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Strong candidates may also have

Logistics

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