Principal Technical Program Manager , Annapurna ML
Amazon is hiring a Principal Technical Program Manager , Annapurna ML in Seattle, United States. It pays $204k-$275k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, JAX and Trainium.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead software technology bring-up and program management for Annapurna ML Neuron powering Machine Learning accelerated infrastructure.
We're seeking a Principal Program Manager for the Annapurna ML, Neuron core team. In this role you will be owning the software technology bring up lifecycle from early hardware design ideation, to landing hardware in labs and data centers, developing, debugging, and qualifying full servers for customer and Neuron developers.
You will work stakeholders to secure and allocate prototype and production Trainium instances. Establish and maintain dashboards, utilization metrics, and recurring review mechanisms to proactively identify new usecases, gaps, and drive resolution. You will be responsible for scoping and delivering large projects end-to-end. Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, Trainium hardware teams, as well as internal teams and external customers. You will be expected to make appropriate tradeoffs to optimize time-to-production, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.
The right candidate will possess a strong technical and program management background, demonstrate experience in new hardware design and bringup, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in at most of the following: current machine learning technologies, products spanning multiple technical domains from higher performance networking/compute and drivers to compilers and software development programs. You must be able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done.
As a Principal TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.
In this role you will:
· Drive execution of projects
· Provide technical direction with limited assistance
· Lead cross functional project meetings with VP level audience and stakeholders
· Lead milestone reviews
· Present project status to the executive team
Key job responsibilities
Work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.
About the team
Annapurna ML Neuron is the team that delivers the software that powers the existing and upcoming Trainum families of Machine Learning Accelerated EC2 instances. We build a Compiler, Collective Communication, Drivers, Runtime and a fully integrated suite of Pytorch and JAX stacks, providing the highest-scale, distributed Training and Inference servers available. We work from the lowest level collaborating with chip and server design up to and including massive scale inference and training for frontier models.
Basic qualifications
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- 5+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred qualifications
- 8+ years of hands-on work managing complex technology projects experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 203,500.00 - 275,300.00 USD annually
USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually
How we rate this
Principal Technical Program Manager , Annapurna ML at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used JAX in your day-to-day work.
- What are the limits of Trainium that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: PyTorch, JAX, and Trainium. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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