Role Overview

We're looking for a Software Technical PM to own the day-to-day planning, execution management, and coordination of complex software development projects at Axelera AI. Working across multiple software sub-teams, the Software Technical PM is responsible for turning high-level project objectives into detailed execution plans, ensuring every task and dependency has a named technical owner, driving those plans through to delivery, and proactively surfacing cross-team risks and roadblocks so that the right people can resolve them.

What You Will Do

End-to-end execution management of assigned complex software projects from planning through delivery, working across multiple software sub-teams simultaneously. Build and maintain detailed project plans at the task and dependency level, working directly with engineering sub-team leads to establish realistic estimates, identify dependencies, and define integration milestones.

Why It Might Be a Fit

3-5 years of experience in technical programme or project management within a software-intensive technology organisation, preferably in semiconductor toolchains, compilers, AI/ML frameworks, or embedded systems software. Demonstrated experience coordinating cross-team software integration efforts involving multiple codebases, build systems, and testing environments converging on a single deliverable.

Requirements

• 3-5 years of experience in technical programme or project management within a software-intensive technology organisation
• Demonstrated experience coordinating cross-team software integration efforts involving multiple codebases, build systems, and testing environments converging on a single deliverable
• Sufficient technical literacy to navigate discussions about compiler toolchains, runtime systems, model optimisation, and inference pipelines
• Track record of improving delivery predictability on complex software projects
• Experience working in a matrixed environment, managing by influence across teams without direct line authority
• Familiarity with AI/ML model deployment pipelines (model training to quantisation to compilation to inference)
• Familiarity with agile or SAFe-inspired planning methodologies
• Outstanding verbal and written communication skills in English
• Strong attention to detail, particularly in tracking task-level dependencies, identifying estimation drift, and maintaining accurate project records

Benefits

• attractive compensation package
• pension plan
• extensive employee insurances
• option to get company shares
• open culture that supports creativity and continual innovation
• collaborative ownership and freedom with responsibility

Originally posted on Himalayas