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Senior Director, On Device Applied ML, IE-IOT
San Diego, California, United States of America
·
On-site
·
Full-time
·
1mo ago
必須スキル
Machine Learning
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
We are looking for a dynamic and experienced Senior Director of Engineering to lead our IE-IOT Applied AI IoT Team. In this role, you will be responsible for driving the strategic vision, development, and execution of the AI platform and machine learning algorithms that will empower Qualcomm's IoT Product Groups to deliver innovative AI-powered experiences to our IoT customers.
Responsibilities
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You will oversee AI experience on all IE-IOT chipsets for customers.
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In charge of IE-IOT AI end to end execution: work with internal Qualcomm teams which provides AI Tools for Qualcomm Chipsets, Customer Engineering team who frontends customer’s AI needs, Edge Impulse team who provides the E2E AI experience for developer first community, CV/Voice AI teams who provide algorithms, own and drive GenAI deliverables, AI HUB team who owns the model onboarding experience for Qualcomm.
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Hire and lead a high-performing IoT global engineering team responsible for the development and optimization of Qualcomm's IE-IOT AI Portfolio, including ML algos for predictive and generative AI.
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Develop and execute a strategic roadmap for the AI Platform, ensuring alignment with companywide IoT objectives and product group requirements
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Collaborate cross-functionally with product, design, and engineering teams to deliver world-class AI-powered experiences
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Drive technical excellence and innovation within the organization, promoting leading-edge AI and ML technologies and best practices
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Build a culture of continuous learning and improvement, fostering an environment that encourages experimentation, innovation, and calculated risk-taking
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Attract, retain, and develop top engineering talent, providing mentorship, guidance, and career development opportunities
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Serve as a subject matter expert with respect to AI platform, infrastructure and capabilities that can help drive accelerated impact across the company’s Io
T BU using AI:
Minimum Qualifications:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 10+ 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 9+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications:
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Master’s degree or PhD in in computer Science, engineering, or a related technical field of study.
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15+ years of experience in software engineering, with a focus on AI and machine learning applications
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6+ years of experience in a leadership role, managing and scaling engineering teams
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Proven track record of building and deploying AI platforms and machine learning applications at scale
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Strong understanding of machine learning frameworks, tools, and technologies, with expertise in at least one major platform
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Demonstrated commitment to continuous learning and staying current with the latest trends and advancements in AI and ML technology
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13+ years of experience in software engineering, with a focus on AI and machine learning applications
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4+ years of experience in a leadership role, managing and scaling engineering teams
In addition to experience, the successful candidate will have demonstrated competencies in the following areas:
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Strategic Execution: Ensures execution plan drives key strategic priorities and company goals; has significant impact on the direction of a large number of critical projects. Drives timely, complex, and strategic decisions that have a global reach and/or significant business or financial impact while adhering to Qualcomm standards of ethical behavior.
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Coaching & Development: Provides leadership across organizations (e.g., creates a strategy for organization development, develops a strong talent pipeline/workforce and drives talent development to execute present and future business priorities, sets clear expectations for departments, drives coaching and mentoring relationships, creates a culture of inclusion and learning) and motivates peers, senior leaders, and employees to align individual, team, department, and organization development with the broader vision and goals of the company.
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Impactful Innovation: Inspires stakeholders, the company culture, and the industry with a visionary approach that shapes the organization by introducing and enabling breakthrough ideas, products, and/or processes. Creates new business opportunities by challenging the organization to push boundaries while taking the appropriate risk and anticipating future needs.
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Clear Communication: Translates the strategic vision into succinct and impactful messages that inspires and connects efforts to the broader vision and goals of the company. Acts as a champion for proactive, open, respectful, and inclusive discussions.
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:
$256,000.00 - $384,000.00
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 – 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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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
3.7
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
3.2
キャリア
4.0
経営陣
2.5
65%
友人に勧める
良い点
Good benefits and compensation
Great working atmosphere and colleagues
Challenging and interesting projects
改善点
Poor work-life balance
Toxic culture and leadership issues
Increasing pressure and micromanagement
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
面接体験
9件の面接
難易度
2.6
/ 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
ニュース&話題
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