Staff Engineer
San Diego, CA · On-site
... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops optimized software to enable AI models deployed on hardware (e.g., machine ...
Staff Engineer
San Diego, CA · On-site
... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops optimized software to enable AI models deployed on hardware (e.g., machine ...
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
This is an exciting opportunity to work at the intersection of software, hardware, and artificial ... Analyze and adapt machine learning models to improve compatibility, performance, and power ...
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
This is an exciting opportunity to work at the intersection of software, hardware, and artificial ... Analyze and adapt machine learning models to improve compatibility, performance, and power ...
Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
This is an exciting opportunity to work at the intersection of software, hardware, and artificial ... Analyze and adapt machine learning models to improve compatibility, performance, and power ...
Machine Learning Intern (Singapore)
San Jose, CA · On-site
$35 - $45/hr
This is an exciting opportunity to work at the intersection of software, hardware, and artificial ... Analyze and adapt machine learning models to improve compatibility, performance, and power ...
Machine Learning Intern (Singapore)
$35 - $45/hr
This is an exciting opportunity to work at the intersection of software, hardware, and artificial ... Analyze and adapt machine learning models to improve compatibility, performance, and power ...
Quick apply
Apply Early
Machine Learning Intern (Singapore)
$35 - $45/hr
This is an exciting opportunity to work at the intersection of software, hardware, and artificial ... Analyze and adapt machine learning models to improve compatibility, performance, and power ...
Apply Early
Sr. Staff, Engineer
San Diego, CA · On-site
... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops critical optimized software to enable AI models deployed on hardware (e.g ...
Sr. Staff, Engineer
San Diego, CA · On-site
... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops critical optimized software to enable AI models deployed on hardware (e.g ...
Machine Learning Engineer
Austin, TX · On-site
They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning ... Optimize inference performance, model compression, and deployment across various hardware platforms ...
Machine Learning Engineer
Austin, TX · On-site
They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning ... Optimize inference performance, model compression, and deployment across various hardware platforms ...
Machine Learning Engineer
Austin, TX · On-site
Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Machine Learning Engineer
Austin, TX · On-site
Optimize inference performance, model compression, and deployment across various hardware platforms ... Strong understanding of fundamental machine learning algorithms and neural network techniques.
Research, develop, and implement machine learning algorithms for use in software and hardware applications. * Perform application programming activities including coding, testing, debugging ...
Quick apply
Apply Early
Research, develop, and implement machine learning algorithms for use in software and hardware applications. * Perform application programming activities including coding, testing, debugging ...
Apply Early
Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
... member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software ...
Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
... member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software ...
... member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software ...
... member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software ...
Machine Learning Engineer
$150K - $277K/yr
As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera ...
Machine Learning Engineer
$150K - $277K/yr
As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
... member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software ...
Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware
Austin, TX · On-site
$103K - $142K/yr
... member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software ...
Machine Learning Engineer
New York, NY · On-site +1
Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... This person will implement and develop machine learning models to enhance our platform ...
Machine Learning Engineer
New York, NY · On-site +1
Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... This person will implement and develop machine learning models to enhance our platform ...
Machine Learning Architect
Boston, MA · On-site
Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...
Quick apply
Machine Learning Architect
Boston, MA · On-site
Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:
Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:
Machine Learning Engineer
Fremont, CA · On-site
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:
Machine Learning Engineer
Fremont, CA · On-site
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:
Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:
Quick apply
Machine Learning Engineer
$150K - $220K/yr
We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:
Summer Machine Learning Hardware information
See salary details
$12.26 - $15.52
9% of jobs
$17.67 is the 25th percentile. Wages below this are outliers.
$15.52 - $18.77
25% of jobs
The median wage is $21.58 / hr.
$18.77 - $22.03
19% of jobs
$22.03 - $25.28
18% of jobs
$26.39 is the 75th percentile. Wages above this are outliers.
$25.28 - $28.54
12% of jobs
$28.54 - $31.80
10% of jobs
$31.80 - $35.05
6% of jobs
$35.05 - $38.31
1% of jobs
$38.31 - $41.56
0% of jobs
$41.56 - $44.82
0% of jobs
$44.82 - $48.08
0% of jobs
$12
$24
$48
How much do summer machine learning hardware jobs pay per hour?
As of Jul 4, 2026, the average hourly pay for summer machine learning hardware in the United States is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $27.88 per hour, depending on experience, location, and employer.
What is the difference between Summer Machine Learning Hardware vs Summer Data Scientist?
| Aspect | Summer Machine Learning Hardware | Summer Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Electrical Engineering, or related fields; knowledge of hardware design and programming | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and programming |
| Work Environment | Hardware labs, R&D centers, tech companies focusing on AI hardware | Office settings, research labs, tech companies analyzing data and building models |
| Industry Usage | AI hardware development, embedded systems, hardware acceleration for ML | Data analysis, predictive modeling, AI application development |
Summer Machine Learning Hardware roles focus on designing and optimizing hardware for machine learning applications, requiring technical skills in hardware engineering. In contrast, Summer Data Scientist positions involve analyzing data, building models, and deriving insights. Both roles are essential in AI development but differ in their technical focus and work environment.
What cities are hiring for Summer Machine Learning Hardware jobs? Cities with the most Summer Machine Learning Hardware job openings:
What are the most commonly searched types of Machine Learning Hardware jobs? The most popular types of Machine Learning Hardware jobs are:
What states have the most Summer Machine Learning Hardware jobs? States with the most job openings for Summer Machine Learning Hardware jobs include:
Qualcomm rating
9.6
Based on 5 frontline employees who took The Breakroom Quiz
5th of 202 rated software companies
Job description
Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation for a smarter, connected future. The role of Machine Learning Engineer involves creating and implementing machine learning techniques and collaborating with cross-functional teams to enhance mobile, edge, auto, and IoT products.
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 (co-designed with machine learning software) for inference or training solutions.
• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
• Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
• Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 3+ years experience working in a large matrixed organization.
• 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation for a smarter, connected future. The role of Machine Learning Engineer involves creating and implementing machine learning techniques and collaborating with cross-functional teams to enhance mobile, edge, auto, and IoT products.
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 (co-designed with machine learning software) for inference or training solutions.
• Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with hardware teams for joint design and development.
• Develops and applies machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes novel machine learning solutions aligned with and motivated by proposals or roadmaps for complex products and working features.
• Oversees and conducts experiments to train and evaluate machine learning models and/or software.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 5+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 5+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 3+ years experience working in a large matrixed organization.
• 2+ years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
• 1+ year in a technical leadership role with or without direct reports (only applies to positions with direct reports).
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Qualcomm
Sourced by ZipRecruiter
Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Diego, CA, US
Year founded
1985