Staff Machine Learning Engineer — Hardware-Software Co-Design

Qualcomm

San Diego (CA)

On-site

USD 158,000 - 238,000

Full time

8 days ago
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Qualcomm Technologies, Inc. invites a Machine Learning Engineer to join the Engineering Group and contribute to state-of-the-art ML solutions across mobile, edge, auto, and IoT platforms.

You will develop and optimize ML frameworks, collaborate with cross-functional teams, and help deploy ML models on hardware, with emphasis on performance and integration with software stacks. This role requires strong fundamentals in ML, software engineering, and system optimization, with opportunities for

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware/Software/Systems Engineering experience.
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware/Software/Systems Engineering experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware/Software/Systems Engineering experience.

Responsibilities

  • Leverages advanced Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
  • Models, architects, and develops advanced machine learning hardware for inference or training solutions.
  • Develops optimized software to enable AI models deployed on hardware and collaborates with hardware teams for joint design.
  • Develops and applies machine learning techniques into products to enable customers to do the same.
  • Develops, adapts, or prototypes novel machine learning solutions aligned with roadmaps for complex products.
  • Oversees and conducts experiments to train and evaluate machine learning models and/or software.

Skills

Machine Learning
Python
C++
Linux

Education

Bachelor's degree in CS/Engineering/IS
Master's degree in CS/Engineering/IS
PhD in CS/Engineering/IS

Tools

TensorFlow
Caffe
PyTorch
Keras

Job description

Qualcomm Technologies, Inc. invites a Machine Learning Engineer to join the Engineering Group and contribute to state-of-the-art ML solutions across mobile, edge, auto, and IoT platforms.

You will develop and optimize ML frameworks, collaborate with cross-functional teams, and help deploy ML models on hardware, with emphasis on performance and integration with software stacks. This role requires strong fundamentals in ML, software engineering, and system optimization, with opportunities for

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior ML Engineer: Hardware-Software Co-Design
Senior ML Engineer: Hardware-Software Co-Design

Qualcomm • San Diego (CA)

On-site
USD 123,000 - 184,000
Annual RSU grants
Discretionary bonus
Benefits package
Staff ML Engineer: Embedded AI & Hardware Co‑Design
Staff ML Engineer: Embedded AI & Hardware Co‑Design

Nutanix • San Diego (CA)

On-site
USD 158,000 - 238,000
Embedded ML Engineer - AI Hardware & Software
Embedded ML Engineer - AI Hardware & Software

Qualcomm • San Diego (CA)

On-site
USD 162,000 - 243,000
Edge AI & ML Hardware Engineer
Edge AI & ML Hardware Engineer

Nutanix • San Diego (CA)

On-site
USD 162,000 - 243,000
Senior ML Engineer - Edge AI & Hardware Optimization
Senior ML Engineer - Edge AI & Hardware Optimization

Nutanix • San Diego (CA)

On-site
USD 123,000 - 184,000
Competitive benefits
RSU grants
ML Engineer: Model Optimization & Edge Deployment
ML Engineer: Model Optimization & Edge Deployment

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Senior ML Engineer — Edge AI & Embedded Systems
Senior ML Engineer — Edge AI & Embedded Systems

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000
Sr Engineer, Machine Learning Engineering (ML Apps)
Sr Engineer, Machine Learning Engineering (ML Apps)

Qualcomm • San Diego (CA)

On-site
USD 140,800 - 211,200
Competitive annual discretionary bonus
Annual RSU grants
Comprehensive benefits package
Machine Learning Researcher - Edge & On-Device Innovation
Machine Learning Researcher - Edge & On-Device Innovation

Qualcomm • San Diego (CA)

On-site
USD 159,000 - 239,000
Staff ML Software Engineer - Embedded AI on ARM
Staff ML Software Engineer - Embedded AI on ARM

Qualcomm • San Diego (CA)

On-site
USD 158,000 - 238,000