Anaconda, Inc.
Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary:
Anaconda is seeking a talented
Senior Engineer, Build and Packaging - CUDA
to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.
What You'll Do:
Engineer CUDA-enabled AI packages: Build and maintain advanced conda recipes for PyTorch, TensorFlow, and GPU compute stack components. Debug build and compilation issues, complex dependency chains, and cross-platform compatibility issues.
Automate build workflows: Identify manual bottlenecks and architect scalable automation solutions to improve delivery speed and reliability.
Collaborate with NVIDIA teams: Partner directly with GPU engineers and upstream AI framework maintainers. Participate in Agile ceremonies and technical discussions.
Deliver enterprise AI infrastructure: Provide comprehensive coverage, timely updates, and platform-optimized GPU-accelerated packages to empower ML teams across diverse computing environments.
What You Need:
8+ years of software development experience
Several years of experience building compiled software and debugging builds
Strong understanding of C/C++ and able to dive into source code in order to build and detect dependencies/create patches, etc. Including using libraries.
Strong knowledge of Linux, Windows (outside WSL2) and CUDA within the scope of building and running system software and debugging system issues, for example toolchain issues, driver issues, and issues concerning shared library incompatibilities.
Strong knowledge of build tools: CMake, Bazel, Make, Automake, etc.
Highly proficient communications skills
Ability to work across teams to design, architect, and implement a pragmatic solution
Able to fix bugs in software written in a range of languages and contribute fixes to the upstream projects
Strong experience with Git or other version control software
Persistent drive to improve workflows and make things better
Proficient in troubleshooting complex problems and coming up with alternative solutions
Have experience with software development management tools such as Jira, etc.
Coordinate with other members on their tasks that map to the team/department goals (i.e. set the direction).
Team attitude: “I am not done until WE are done”
Embody our core values: Clarity, Care and Candor
Care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out:
Familiarity with the CUDA stack, NVIDIA GPU architecture and the CUDA programming model
Being on the pulse of news and advancements in commercial GPU technologies
Solid programming in Python
Relationships with other open-source package maintainers
Knowledge and experience with compilers and package-building
Having open-source experience and having contributed to at least one big project
Solid understanding of build-environments, operating systems
Experience with different operating systems: Windows, MacOS
CI/CD experience
Packaging software (Homebrew, RPM, conda)
Why You'll Like Working Here:
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.
The application deadline for this role is 11/23/2025; applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $175,500 - $227,625 for candidates in New York City and San Francisco, and $131,500 - $193,625 for other US-based team members, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. ("We", "Us") are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.
By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (GDPR) and the UK GDPR the Data Controller is Vanessa Macilwaine.
#J-18808-Ljbffr
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary:
Anaconda is seeking a talented
Senior Engineer, Build and Packaging - CUDA
to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.
What You'll Do:
Engineer CUDA-enabled AI packages: Build and maintain advanced conda recipes for PyTorch, TensorFlow, and GPU compute stack components. Debug build and compilation issues, complex dependency chains, and cross-platform compatibility issues.
Automate build workflows: Identify manual bottlenecks and architect scalable automation solutions to improve delivery speed and reliability.
Collaborate with NVIDIA teams: Partner directly with GPU engineers and upstream AI framework maintainers. Participate in Agile ceremonies and technical discussions.
Deliver enterprise AI infrastructure: Provide comprehensive coverage, timely updates, and platform-optimized GPU-accelerated packages to empower ML teams across diverse computing environments.
What You Need:
8+ years of software development experience
Several years of experience building compiled software and debugging builds
Strong understanding of C/C++ and able to dive into source code in order to build and detect dependencies/create patches, etc. Including using libraries.
Strong knowledge of Linux, Windows (outside WSL2) and CUDA within the scope of building and running system software and debugging system issues, for example toolchain issues, driver issues, and issues concerning shared library incompatibilities.
Strong knowledge of build tools: CMake, Bazel, Make, Automake, etc.
Highly proficient communications skills
Ability to work across teams to design, architect, and implement a pragmatic solution
Able to fix bugs in software written in a range of languages and contribute fixes to the upstream projects
Strong experience with Git or other version control software
Persistent drive to improve workflows and make things better
Proficient in troubleshooting complex problems and coming up with alternative solutions
Have experience with software development management tools such as Jira, etc.
Coordinate with other members on their tasks that map to the team/department goals (i.e. set the direction).
Team attitude: “I am not done until WE are done”
Embody our core values: Clarity, Care and Candor
Care deeply about fostering an environment where people of all backgrounds and experiences can flourish
What Will Make You Stand Out:
Familiarity with the CUDA stack, NVIDIA GPU architecture and the CUDA programming model
Being on the pulse of news and advancements in commercial GPU technologies
Solid programming in Python
Relationships with other open-source package maintainers
Knowledge and experience with compilers and package-building
Having open-source experience and having contributed to at least one big project
Solid understanding of build-environments, operating systems
Experience with different operating systems: Windows, MacOS
CI/CD experience
Packaging software (Homebrew, RPM, conda)
Why You'll Like Working Here:
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.
The application deadline for this role is 11/23/2025; applicants will be reviewed on an ongoing basis until the role is filled.
The base salary range for this role is $175,500 - $227,625 for candidates in New York City and San Francisco, and $131,500 - $193,625 for other US-based team members, along with annual bonus potential, equity participation, and benefits.
Our salary ranges are determined by role, level, and location. Within the range, individual compensation is determined by various factors, including work location, job-related skills, experience, and relevant education or training. Your recruiter will provide more specific details on the salary range for your preferred location during the hiring process.
In addition to base salary, we offer a comprehensive benefits package that includes:
Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Anaconda, Inc. ("We", "Us") are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes.
By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (GDPR) and the UK GDPR the Data Controller is Vanessa Macilwaine.
#J-18808-Ljbffr