Job Requisition ID #
Position Overview
Autodesk is seeking a passionate and experienced Senior Software Development Manager with deep experience leading enterprise-scale platform development to lead our talented team of software and ML engineers in building AMP, our next-generation machine learning platform.
You will play a key role in developing the platform that powers the next generation of Agentic AI features across Autodesk products.
A successful candidate will require providing technical leadership, driving the technical strategy, execution, and delivery of scalable AI/ML platform, ensuring alignment with organizational goals and priorities, driving adoption of the Platform. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget. A successful candidate will deliver while motivating the team and instilling a culture of development excellence.
Location: The role is based in the San Francisco Bay Area. Hybrid/Remote.
Responsibilities
Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
Provide guidance to the design and architecture of scalable, reliable, and efficient AI/ML systems and drive critical technology decisions
Drivingtheexecutionoftheplatform strategyfollowingprinciplesofagile methodology and best practices in software development, code quality, and security standards
Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance
Actively participate in coding review processes, and problem-solving alongside your team
Build and foster a high-performance culture, mentor team members and provide your team with the tools and motivation to make things happen
Actively participate in the hiring process to attract and onboard top-tier development talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision
Minimum Qualifications
BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
12+ years of experience of software development with 3+ years of experience as a manager
Proven experience leading and mentoring software and ML development teams
Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)
Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
Understanding ofMLOpsprinciples and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
Expertise in CI/CD, automation tools, and practices for machine learning lifecycle management
Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
Experience with Scrum and agile development processes and methodologies.
Excellent communication and written skills
BS or MS in Computer Science or related technical field
Ability to inspire, motivate, and guide team members towards achieving project goals
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
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