Director of AI Transformation & Engineering Excellence

Altera Corporation
San Jose, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$206,400.0 - $290,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Distributed Systems Python (Programming Language) Machine Learning Performance Tuning Rapid Prototyping Process Tensorflow Google Cloud Pytorch
+6 more
Large Language Models Generative AI Scikit Learn Information Technology Machine Learning Operations Software Coding

Job description

Altera is seeking a visionary and hands-on Director of AI Transformation & Engineering Excellence to lead enterprise-wide AI initiatives that accelerate productivity, modernize engineering workflows, and drive innovation. In this role, you will architect advanced AI/ML solutions, build and scale Altera’s AI Office, and elevate engineering excellence across the organization.

This position is ideal for a deeply technical leader who thrives at the intersection of strategy, execution, and organizational transformation., * Lead the strategic planning, design, and execution of AI-driven transformation initiatives across Altera.

  • Architect scalable, production-grade AI/ML systems that improve engineering throughput and business productivity.
  • Build and mentor an AI Office team focused on innovation, enterprise enablement, and continuous improvement.
  • Partner with technology, product, and business leaders to identify and develop AI opportunities with measurable ROI.
  • Champion engineering excellence-coding standards, MLOps best practices, automation, and performance optimization.
  • Stay ahead of advancements in AI, LLMs, generative models, and intelligent automation to guide technology direction.
  • Engage in hands-on prototyping, model development, and technical reviews.
  • Define KPIs, metrics, and dashboards to track the impact of AI transformation efforts.
  • Foster a culture of collaboration, experimentation, and a strong can-do attitude.

Requirements

  • 10+ years of hands-on AI/ML engineering or applied research leadership.
  • MS or PhD in Machine Learning, AI, Computer Science, or related field.
  • Deep expertise in designing, developing, and deploying large-scale AI/ML solutions.
  • Strong proficiency in Python, and frameworks such as PyTorch, TensorFlow, and Scikit-learn.
  • Experience leading technical teams and building AI capabilities from the ground up.
  • Proven track record in driving AI-enabled productivity improvements or engineering transformations.
  • Excellent communication, cross-functional leadership, and stakeholder alignment skills.
  • A collaborative mindset, high ownership, and ateam-first, can-do approach., * Experience launching or leading an AI Center of Excellence (CoE).
  • Expertise in LLMs, generative AI, RAG systems, and vector retrieval technologies.
  • Familiarity with cloud platforms (Azure, AWS, Google Cloud Platform) and scalable distributed systems.
  • Publications, patents, or research contributions in ML/AI.

Benefits & conditions

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$206,400 - $290,000 USD

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all