Director of Engineering for ML hardware design & Architecture

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$228,400–$342,600 / yr
Posted
24 days ago
Freshness
Confirmed live today
Closes
Mar 16, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $237k
This role $286k
$165k $362k
below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $208,743–$265,125 — the blue band above. At the midpoint, this role pays about $286k versus about $237k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 558 open roles on FindRole.

Listed pay typically runs $152,130–$222,500 across 534 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Director of Engineering for ML hardware design & Architecture

Role Posting Log in to save

The Director of Engineering for ML hardware design & Architecture joins the Machine Learning Hardware Accelerator team to drive the definition and analysis of next-generation ML hardware accelerator architectures. This role focuses on vision applications for mobile and emerging products, specifically targeting computer vision workloads like image classification, object detection, and video analytics. The successful candidate will architect high-performance, power-efficient designs, optimize performance, power, and area tradeoffs, and define micro-architectures for ML algorithms. Key responsibilities include leading hardware IP development and collaborating with global software and systems teams. Required expertise includes CPUs, GPUs, DSPs, memory, and bandwidth analysis. Candidates must utilize tools such as Verilog, SystemVerilog, HLS, C/C++, and SystemC, while applying knowledge of ML frameworks like TensorFlow Lite and ONNX to solve complex hardware problems.

Skills

ML Hardware Accelerator VLSI Design Verilog SystemVerilog HLS C C++ SystemC TensorFlow Lite ONNX SoC RTL Design Synthesis Physical Design Simulators Scripting Computer Vision

What you'll do

  • Architect high-performance, power-efficient ML hardware accelerator designs for computer vision workloads.
  • Analyze and optimize hardware designs for performance, power, and area (PPA) tradeoffs.
  • Define hardware micro-architecture for the efficient implementation of ML algorithms.
  • Lead HW IP development by coordinating with RTL design, verification, synthesis, and physical design teams.
  • Use models, simulators, profilers, and real hardware to quantitatively justify architectural decisions.
  • Apply knowledge of CPUs, GPUs, DSPs, memory, and bandwidth analysis to ML hardware design.
  • Invent and file patents for innovative hardware solutions.

What we're looking for

  • Master's degree in Computer or Electrical Engineering, Computer Science, or related field and 15+ years of industry experience.
  • Experience in hardware development for ML, multimedia, or accelerator technologies like vision, imaging, video, or audio.
  • Experience in system or chipset development for SoC products, preferably in the mobile market.
  • Experience with SoC bus, interconnect, and memory technologies.
  • Experience with ML frameworks and accelerator standards such as TensorFlow Lite or ONNX.
  • Proficiency in VLSI design and verification using Verilog, SystemVerilog, or HLS.
  • Proficiency in C, C++, and SystemC programming.
  • Deep domain knowledge in ML for vision and experience collaborating with global teams (preferred).

Related searches

More Engineering Director jobs Engineering Director jobs in San Diego All jobs at Qualcomm

More like this

Similar roles

Director, Machine Learning Engineering

GEICO

Palo Alto, CA +4 128 days ago $150,000–$300,000
AI ML RAG LLMs Generative AI Distributed Systems Platform Engineering Real-time Inference Observability Context Orchestration Memory Systems State Management Knowledge Integration System Optimization Experimentation Frameworks
10+ yrs exp
Save

Director, AI/ML Engineering

Carmax

Richmond, VA +1 17 days ago $181,400–$290,200
Generative AI Agentic AI Machine Learning ML Ops Large Language Models LLMs LangChain AutoGen AWS Bedrock Azure OpenAI OpenAI Anthropic Computer Vision Agile Data Science Feature Engineering Data Governance
10+ yrs exp Hybrid
Save

Director, AI/ML Engineering

Fidelity Financial Services

Westlake, TX 2 days ago
Artificial Intelligence Machine Learning MLOps Python AWS PyTorch Amazon Bedrock SageMaker Lambda Glue Step Functions Snowflake SQL Docker Jenkins Artifactory SonarQube GitHub Kinesis Tableau CI/CD RAG Vector Databases LLMs S3 EMR Athena Data Warehousing Label Studio
6+ yrs exp
Save

Director, ML Services Engineering

Adobe

San Jose, CA 23 days ago
Generative AI ML Systems CUDA NCCL GPU Transformers VAEs Data Pipelines Model Lifecycle Management Observability SLAs APIs High-Resolution Media Pipelines
10+ yrs exp
Save

Director, Machine Learning Engineer

Capital One Financial

McLean, VA 5 days ago $269,100–$307,200
Python Java Golang C++ PyTorch TensorFlow Spark Ray Kubernetes AWS GCP Azure Pandas NumPy Scikit-learn Scala Data Pipelines Transformers RNNs CNNs LSTMs
Save