
Inventing the technologies the world loves.
Software Applications Engineer for AI/ML
必須スキル
Python
Linux
PyTorch
TensorFlow
Company:
Qualcomm Canada ULC:
Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
General Summary:
As a pioneering technology innovator, Qualcomm expands the limits of possibility to deliver next-generation experiences and spearheads digital transformation, fostering a smarter, more connected future for everyone. As a Qualcomm Customer Engineer, you will collaborate with leading application vendors to integrate advanced AI models, ensuring they operate efficiently on powerful NPU engines built into Qualcomm chipsets. This position will expose you to Qualcomm’s cutting-edge CPU, GPU and NPU features, and ML/AI acceleration needed for the industry.
Must have experience:
· Strong experience in embedded software development, integration, optimization and debugging
· Proficiency in C/C++ and modern scripting languages such as Python
Preferred qualifications:
· 2+ years of experience working with embedded platforms
· 2+ years experience with high level OS (QNX, Linux, or Android)
· Experience with ML applications in Automotive Infotainment or Autonomous Driving
· Experience with dedicated ML accelerators or hardware blocks for embedded AI, inference optimization and edge deployment
· Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, Py Torch, Tensor Flow, Caffe/Caffe2
· Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems, tuning GenAI models or reinforcement learning
· Experience with ML/MLOps pipelines for AI application development and deployment
· Solid understanding of neural network operators, linear algebra, quantization and ML/DL related fundamentals, including CNNs, object detection, segmentation, and related algorithms
· Experience with debugging tools (JTAG, ftrace, GDB)
· Strong communication, collaboration, and customer focused mindset
· Ability to manage tasks, timelines, and drive cross-functional execution
· Ability to quickly learn new technologies and perform deep technical analysis
Principal Duties and Responsibilities:
· Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge platforms and support customers for successful commercialization
· Develop end to end applications for inference deployment on customer platforms
· Plan with team lead, take ownership of on-time delivery and quality.
· Train and support internal teams in issue resolution.
· Participate in cross department initiatives & activities to solve technical problems with cross-functional team.
· Contributing towards the continuous development & innovation of tools, technology and user experience
· Assist in the design, development, and implementation of Gen AI and LLM applications
· Contribute towards implementing fine tuning and distillation techniques
· Perform ML model benchmarking and functional analysis to drive requirements and specifications
· Support customer engagement with AI model/workload optimization and deployment
· Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems
· Develops new and innovative ideas for a product or feature area.
· Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.
Minimum Qualifications:
-
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field. -
1+ year of any combination of academic and/or work experience with Programming Language such as C, C++, Java, Python, etc.
-
1+ year of any combination of academic and/or work experience with debugging techniques.
Applicants: 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).
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.
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.
Pay range and Other Compensation & Benefits:
$88,000.00 - $132,000.00
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.
If you would like more information about this role, please contact Qualcomm Careers.
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Qualcommについて

Qualcomm
PublicInventing the technologies the world loves.
10,001+
従業員数
San Diego
本社所在地
$136B
企業価値
レビュー
3件のレビュー
3.0
3件のレビュー
ワークライフバランス
3.0
報酬
2.0
企業文化
2.5
キャリア
3.5
経営陣
2.0
45%
知人への推奨率
良い点
Opportunity to work at reputable company
Interesting work and new skill development
Strong brand name recognition
改善点
Low compensation compared to market rates
Poor communication from employees
No benefits provided
給与レンジ
21件のデータ
Junior/L3
Junior/L3 · Data Scientist
0件のレポート
$196,000
年収総額
基本給
$150,000
ストック
$33,000
ボーナス
$13,000
$166,600
$225,400
面接レビュー
レビュー8件
難易度
2.8
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
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