42dot Logo

42dot

Sr. Staff Technical Project Manager (Product Engineering)

Posted 17 Hours Ago
Be an Early Applicant
In-Office
Sunnyvale, CA, USA
164K-226K Annually
Senior level
In-Office
Sunnyvale, CA, USA
164K-226K Annually
Senior level
Lead delivery of complex hardware, firmware, and software programs for a safety-critical Software-Defined Vehicle platform. Coordinate requirements, run agile cadences and V-model validation, manage suppliers and budgets, and communicate technical status to global stakeholders to meet regulatory and corporate objectives.
The summary above was generated by AI
We are looking for the best

About Us

42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles. 

We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.

About the Role

As a Sr. Staff Technical Project Manager (TPM), you will lead the delivery of complex hardware, firmware, and software projects for our next-generation Software-Defined Vehicle (SDV) platform. You will serve as the core link between internal engineering teams, global stakeholders, and top-tier suppliers. Operating effectively in ambiguous environments, you will steer programs from concept through validation, ensuring both technical milestones and corporate goals are met.

Responsibilities

  • Program Execution: Drive concurrent, complex HW, FW, and SW engineering tracks for safety-critical SDV architectures.

  • Requirements Coordination: Facilitate cross-functional development of key control documents (such as PRDs, MRDs, and ERS) by aligning Engineering with Business Development and PMO teams.

  • Agile Cadence: Lead weekly team meetings, facilitate sprints, coordinate planning sessions, and conduct retrospectives to maintain development velocity.

  • V-Model Tracking: Monitor program progression through the V-model lifecycle, ensuring engineering execution aligns with validation (V&V) processes and ISO standards (e.g., ISO 26262, ISO 21434).

  • Supplier & Budget Management: Conduct technical deep dives with silicon and software suppliers, manage development budgets, and drive product cost optimization.

  • Cross-Functional Communication: Distill complex technical updates, architectures, and blockers into actionable, high-level milestones for non-technical stakeholders.

Qualifications

  • Experience: 6+ years of technical project management experience driving complex embedded systems, semiconductor, or automotive platforms.

  • 10+ years in engineering or technical roles Technical Depth: Practical literacy in embedded systems architecture, hardware-software interfaces, and low-level firmware.

  • Agile Execution: Hands-on experience running sprints, sprint planning, and retrospectives for engineering teams.

  • Requirements Driving: Proven track record of driving definition and alignment for PRDs, MRDs, and ERS documents within matrixed environments.

  • Lifecycle Frameworks: Experience tracking milestones bound to V-Model frameworks and formal ISO regulatory processes.

  • Vendor Management: Experience managing technical partnerships and vendor deliverables with third-party software providers and silicon fabs.

  • Toolchain Proficiency: Competency with enterprise collaboration, productivity, and ALM systems (e.g., Jira, Confluence, GitLab, CodeBeamer).

  • Workflow Efficiency: Ability to leverage modern AI and LLM tools within your workspace to accelerate documentation, synthesis, and project tracking.

Preferred Qualifications

  • Scaled Agile: Experience planning Program Increments (PIs) within scaled agile frameworks.

  • Silicon Domain Expertise: Experience managing programs involving major automotive semiconductors (e.g., Qualcomm or NXP).

Interview Process

  • Application Review - Coding Test - 1st interview - 2nd interview - Offer Negotiation - Hiring

  • The screening procedures may vary depending on the position, schedule, or other circumstances.

    You will be individually notified of the screening schedule and results via the email address provided in your application.

Compensation

  • $163,800 - $226,220

Additional Information

  • In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.

  • All documents must be submitted in PDF format and under 30MB in size.

  • If you experience issues uploading your resume, please send it along with the job posting URL to [email protected].

  • We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.

  • Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).

  • 42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement

  • 42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

※ Please review the following information before applying.

  • How to work in 42dot, About 42dot Way →

Similar Jobs

10 Minutes Ago
Remote or Hybrid
2 Locations
245K-336K Annually
Senior level
245K-336K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and deliver large-scale AI/ML programs and the next-generation Generative AI platform. Build and grow a world-class TPM discipline, manage cross-functional delivery, mitigate technical risk, and drive execution across product, engineering, design, and data science to achieve business impact in regulated environments.
Top Skills: AgileAIAWSCloud ComputingData PlatformsDistributed ComputingDistributed SystemsGenerative AiLow-Latency SystemsMachine Learning
13 Minutes Ago
In-Office or Remote
60K-107K Annually
Senior level
60K-107K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manage non-exempt staff and oversee operational activities across departments in a medical billing environment. Analyze reports, implement procedural improvements, administer policies, and provide direction, coaching, and presentations to peers and outside customers.
Top Skills: EpicExcelMicrosoft PowerpointMicrosoft Word
14 Minutes Ago
In-Office
78K-117K Annually
Junior
78K-117K Annually
Junior
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform in-home long-term care insurance assessments: collect claimant demographics, physician and medication information, complete cognitive screening, evaluate ADLs/IADLs and functional independence, document findings in a point-of-care web application on a laptop or tablet, and travel to client homes as needed.
Top Skills: Point-Of-Care Web Application

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account