• Companies
  • News
By technology
  • Python17.1k
  • AWS12k
  • Kubernetes8.7k
  • Docker8.3k
  • C++5.7k
  • PostgreSQL5.4k
  • SQL5.2k
By category
  • Backend Developer11.5k
  • DevOps Engineer3.4k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer862
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX999
Work mode
  • On-site22k
  • Remote10.2k
  • Hybrid7.3k
Job type
  • Full-time38.2k
  • Contract600
  • Part-time529
  • Freelance215
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
5,568 matches
NewestHighest base
Anthropic

Performance Engineer

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython
Anthropic

Model Performance Software Engineer, Claude Code

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython
Anthropic

ML/Research Engineer, Safeguards

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython
Anthropic

Machine Learning Infrastructure Engineer, Safeguards Research

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Tech Lead Manager, Developer Platform Product Data Scientist

2 months ago
Anthropic · New York, NY
On-siteFull-timePython · AWS
Anthropic

Infrastructure Capacity Planner, Demand Planning

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Incident Response Manager - Product & Engineering

2 months ago
Anthropic · New York, NY
HybridFull-timePython · AWS
Anthropic

Hardware Systems Architect

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Engineering Manager, Search

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Engineering Manager, Research Productivity

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Engineering Manager, Growth

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Engineering Manager, GPU (ML Accelerator)

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Developer Relations

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Data Scientist, Safeguards

2 months ago
Anthropic · New York, NY
On-siteFull-timePython · AWS
Anthropic

Data Scientist, GTM

2 months ago
Anthropic · New York, NY
On-siteFull-timePython · AWS
Anthropic

AV Operations Specialist

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

AV Engineer, Builds and Design

2 months ago
Anthropic · New York, NY
On-siteFull-timePython · AWS
Anthropic

Applied AI Engineer, Enterprise

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Applied AI Architect, Partnerships

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
Anthropic

Applied AI Architect, Industries

2 months ago
Anthropic · San Francisco, CA
On-siteFull-timePython · AWS
  • Previous
  • 1
  • More pages
  • 231
232
  • 233
  • More pages
  • 279
  • Next
  • Anthropic

    Performance Engineer

    Anthropic · 🇺🇸 San Francisco, CA · posted 2 months ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Hybrid: in office at least 25% of the time
    Visa
    Sponsors visas; retains immigration lawyer
    Stack
    Python

    TL;DR

    Performance engineer at Anthropic identifying and solving novel systems problems to optimize throughput and robustness of large distributed ML systems. Projects include low-latency high-throughput LLM sampling, GPU kernels for low-precision inference, custom load-balancing, and fault-tolerant distributed systems. Relevant background covers supercomputing-scale systems, GPU/accelerator programming, ML framework and OS internals, and transformers.

    About Anthropic →

    The full posting

    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:

    Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.

    You may be a good fit if you:

    • Have significant software engineering or machine learning experience, particularly at supercomputing scale
    • Are results-oriented, with a bias towards flexibility and impact
    • Pick up slack, even if it goes outside your job description
    • Enjoy pair programming (we love to pair!)
    • Want to learn more about machine learning research
    • Care about the societal impacts of your work

    Strong candidates may also have experience with:

    • High performance, large-scale ML systems
    • GPU/Accelerator programming
    • ML framework internals
    • OS internals
    • Language modeling with transformers

    Representative projects:

    • Implement low-latency high-throughput sampling for large language models
    • Implement GPU kernels to adapt our models to low-precision inference
    • Write a custom load-balancing algorithm to optimize serving efficiency
    • Build quantitative models of system performance
    • Design and implement a fault-tolerant distributed system running with a complex network topology
    • Debug kernel-level network latency spikes in a containerized environment

    Deadline to apply: None. Applications will be reviewed on a rolling basis.

    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:

    $280,000

    —

    $850,000 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.