Staff Software Engineer, Anaconda
Open-source data science platform
Be an early applicant
Open-source data science platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To empower people with data literacy, so they can ask better questions and make better sense of the world.
Role
Who you are
- 10+ years of professional software development experience, including driving technical strategy, system design, and architecture evolution
- Deep, hands on experience in C/C++, comfortable debugging and fixing issues at the compilation and linking level across large codebases
- Experience building or maintaining production software across multiple operating systems, such as Linux, macOS, and Windows
- Experience using AI assisted development tools, such as Claude Code, as part of a professional workflow, including reviewing and validating AI generated code before it ships
- Experience with Git or another version control system
- You'll thrive in a high-performance environment where results are recognized and rewarded
- Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise
- You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor
- You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth
Desirable
- Active contributor to a mainstream toolchain such as GCC or LLVM, a dynamic linker, or direct experience developing compilers or linkers
- Working knowledge of libc++/libstdc++/STL and glibc, macOS SDKs, or UCRT/vcruntime on Windows
- Familiarity with distribution tooling such as the RedHat devtoolset, or experience maintaining a Linux distribution, Homebrew, or a similar package system at scale
- Proficiency with build tools such as CMake, Bazel, Make, or Automake, and working knowledge of the Python packaging ecosystem, including manylinux
- Experience with GPU build tooling and runtime environments (e.g., CUDA, cuDNN)
- Active involvement in the conda-forge or wider Python packaging community, ideally gained in a fast paced, open source driven environment, with public projects you can walk us through
- Programming experience in Python, particularly for build automation or infrastructure tooling
- You embody our values: “Curious by Default”, “Build Together”, “Own It”, and “Lead with Guts and Heart”, and our behaviors: Clarity, Care and Candor
- You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What the job involves
- Anaconda has always built and shipped conda packages. Now we're expanding into wheels, the format used across the wider Python ecosystem, so builders who would otherwise go to PyPI or conda-forge for a package can find it with us instead. That shift has already taken our catalog from around 2,000 packages to more than 6,000, and wheels
- You'll join a small, focused team building the toolchain that compiles these packages from source. As our Staff Software Engineer, you'll help carry that work from prototype to production: shaping technical strategy, building out the tooling, and working closely with our pure Python wheels and distribution teams as the effort scales
- Build and evolve the toolchain that compiles complex packages like NumPy, SciPy and PyTorch from source, moving the effort from research into production
- Create, review, and evolve conda recipes, build tooling, and release processes that keep compiled packages reliable at scale
- Partner with our pure Python wheels and distribution teams so both efforts stay in step as automation and infrastructure needs grow
- Mentor engineers on architecture, debugging, and packaging practices, sharing context as you go
- Lead postmortems, capacity planning, and incident response for build and distribution infrastructure
- Advise technical leadership on project scoping and delivery trade offs, bringing full context before recommending a path
- Comfortable engaging with AI assisted development tools, such as Claude Code, as appropriate, including reviewing and validating AI generated code before it ships
- Your impact will be measured through:
- Growth of Anaconda's compiled package catalog and reliability of the build and release pipeline
- Reduction in manual, repetitive engineering work through automation
- Cross team adoption of packaging standards and reusable components
- Time to resolution for build and distribution incidents
Application process
- Applicants will be reviewed on an ongoing basis until the role is filled
Our take
Anaconda is a titan providing leading problem-solving tech for data science and machine learning applications. Anaconda began back in 2009, marshalling tools for Python use in data science, and has no doubt helped consolidate Python’s position as the language of preference in this field. This tight relationship means Anaconda is primed to continue a strong and dominant trajectory.
More companies than ever are increasing their data science investments, as large pools of digital data become increasingly available and vital across most areas of business. Machine learning is seeing a similar uptick in demand and is providing fertile and future-focused opportunities for a similarly broad sweep of industries. This suggests that Anaconda’s large customer base, with approximately 30 million users across over 235 countries and regions, and partnerships with the likes of Intel and IBM, is likely to see robust consolidation and growth over the coming years.
The increasing importance of these highly dynamic and changing sectors means there is real appetite for tools that help organizations develop data literacy - and Anaconda is the market’s go-to platform to get there. The company is looking to maintain its strong momentum through new acquisitions, such as PythonAnywhere, thereby strengthening the breadth of its Python offerings.
Steph
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Aug 2025
$150m
SERIES C
Apr 2021
$38.5m
SERIES B
Total funding: $246m
Company benefits
- When it comes to pay increases, there isn’t red tape like your average corporate organization. We don’t have a max cap, and we pay our salary increases based on the industry benchmarks of the specific role in the job market
- We ensure salary transparency for each employee. We show you the benchmarks in the industry for your title, where you live, and how your salary stacks comparative to other jobs with the same title
- Spot bonuses based on great outcomes
- Medical, dental, vision, HSA, life insurance, and 401(K)* (based on country)
- Competitive stock options
- Open vacation policy
- Paid parental leave for both moms and dads
- Anaconda Snake Days; In addition to government holidays, a once-a-month company-designated day off to relax and recharge
- 100% flexible working policy. While we have core business hours, we focus on results, not when you’re at your desk
- Quarterly fitness membership or home office reimbursement
- Low-meeting Fridays
- Monthly anonymous “Ask Me Anything” sessions with senior leadership
- Employee recognition known as the annual Ana-CAN-DO awards
- An open-door policy and senior leadership office hours - transparency comes first, and all ideas matter
- Annual Anaconda Olympics
- Homecoming (bringing everyone together (safely))!
- Weekly team happy hours
- Lunch & learn trainings
- Virtual and in-person team offsites
Company HQ
Financial District, Austin, TX
Leadership
Peter Wang
(Co-Founder, Chief AI & Innovation Officer)After graduating with a degree in Physics from Cornell, they were a Software Developer for Immersive Technologies and a Systems Administrator at ECornell, Cornell's online learning venture. They then were the Director of Technical Architecture at Enthough, Inc, before founding Streamitive, LLC, Continuum Analytics, Inc and then Anaconda, Inc.
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