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Qualcomm
Qualcomm

Inventing the technologies the world loves.

Sr. Automotive Machine learning engineer

职能机器学习
级别资深
地点San Diego, California, United States
方式现场办公
类型全职
发布4个月前
立即申请

必备技能

Python

Linux

PyTorch

Machine Learning

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
    OR
    PhD in Computer Science, Engineering, Information Systems, or related field.

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, Information Systems, or related field.

  • 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

  • 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

  • 2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)

  • 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

  • 2+ years experience working in a large matrixed organization.

  • 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

  • 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

  • Design, implement, and maintain software components running on DSP/NSP processors to meet product goals for latency, throughput, power, robustness, and stability on automotive platforms.

  • Translate architecture guidance into clear module designs, APIs/IDLs, and tests; author concise design docs that enable review and execution.

  • Profile end-to-end compute paths (CPU↔NSP/DSP), identify bottlenecks using SDK profilers/debuggers, and land measurable performance and power improvements.

  • Optimize memory usage and scheduling (e.g., tightly-coupled memory, caching strategies, thread priorities) to achieve target KPIs for real-world workloads.

  • Contribute to SDKs, developer tools, samples, and documentation that streamline application development and partner integrations on our AI software stack.

  • Collaborate with Platform drivers, virtualization, power/performance, and system teams to align resource provisioning, scheduling, and reliability with feature needs.

  • Write high-quality, production-ready code with defensive techniques, fault handling, diagnostics, and long-haul stability tests suitable for automotive deployments.

  • Engage with automotive OEMs, Tier‑1s, and ISVs to triage, reproduce, root‑cause, and resolve integration issues in owned modules; deliver patches and guidance.

  • Participate in code/design reviews, uphold coding standards and safety/quality practices, and contribute to continuous improvement of team processes.

  • Provide data-driven inputs (requirements, prototypes, benchmarks) that inform next-generation DSP/NSP software architecture and tooling.

  • Maintain clear change logs and documentation; ensure backward compatibility, versioning discipline, and handoffs across internal/external stakeholders.

  • Support release readiness with test coverage, automation, and performance/stability sign-offs for the features you own.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$140,800.00 - $211,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

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关于Qualcomm

Qualcomm

Qualcomm

Public

Inventing the technologies the world loves.

10,001+

员工数

San Diego

总部位置

$136B

企业估值

评价

3条评价

3.0

3条评价

工作生活平衡

3.0

薪酬

2.0

企业文化

2.5

职业发展

3.5

管理层

2.0

45%

推荐率

优点

Opportunity to work at reputable company

Interesting work and new skill development

Strong brand name recognition

缺点

Low compensation compared to market rates

Poor communication from employees

No benefits provided

薪资范围

21个数据点

Junior/L3

Junior/L3 · Data Scientist

0份报告

$196,000

年薪总额

基本工资

$150,000

股票

$33,000

奖金

$13,000

$166,600

$225,400

面试评价

8条评价

难度

2.8

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR

Past Experience