NXP Semiconductors Logo

NXP Semiconductors

GenAI DevOps Program Manager

Reposted 19 Days Ago
Be an Early Applicant
In-Office
Oak Hill, Austin, TX, USA
Senior level
In-Office
Oak Hill, Austin, TX, USA
Senior level
The GenAI DevOps Program Manager will oversee the strategy, development, and deployment of generative AI technologies within DevOps, fostering collaboration, managing risks, and tracking performance against business goals.
The summary above was generated by AI

NXP is seeking a GenAI DevOps Program Manager that will oversee the strategy, development and deployment of generative AI (GenAI) technologies, ensuring they are integrated efficiently and securely into the development and operations (DevOps) lifecycle. This role combines high-level program management with deep technical knowledge of both DevOps principles and AI/ML, focusing on innovation, efficiency, and responsible AI practices. 

Location:  This position is located in Austin, TX and is not open to 100% remote.  This is a hybrid role with 3 days in office and 2 days work from home each week.

Roles and responsibilities

  • Strategic leadership: Develop a comprehensive vision for GenAI adoption within DevOps workflows, aligning initiatives with broader organizational goals.

  • Program coordination: Manage large-scale GenAI initiatives through the full lifecycle, from hypothesis validation and fine-tuning to deployment and post-release evaluation.

  • Cross-functional collaboration: Act as a bridge between AI research, engineering, and product teams to facilitate communication and ensure alignment.

  • Risk management: Identify potential risks associated with GenAI development, such as model accuracy, bias, and security vulnerabilities, and develop mitigation strategies.

  • Process definition: Establish and improve the processes used by GenAI teams to coordinate, communicate, and resolve cross-team issues.

  • Education and change management: Foster a GenAI-forward culture by providing education and training to development and operations teams.

  • Performance tracking: Define and track key performance indicators (KPIs) for GenAI adoption and measure the business impact and ROI of initiatives.

  • Vendor management: Manage relationships with external vendors providing AI training and tools.

  • Automation: Drive the infusion of GenAI into CI/CD pipelines to automate tasks like code generation, testing, and monitoring. 

Required skills and qualifications

To be successful in the role, you will bring a blend of technical expertise, business acumen, and soft skills:

Technical expertise:

  • Generative AI: Knowledge of AI/ML concepts, including large language models (LLMs), prompt engineering, model training, and fine-tuning.

  • DevOps: Deep understanding of DevOps practices, such as continuous integration (CI), continuous delivery (CD), infrastructure as code (IaC), and site reliability engineering (SRE).

  • Cloud computing: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated tools for managing infrastructure and AI workloads.

Program management skills:

  • Strategic planning: Ability to create roadmaps, prioritize projects, and align initiatives with business goals.

  • Agile methodology: Experience with Agile and Scrum to manage the fast-paced development of AI products.

  • Risk management: Capacity to identify project risks and develop contingency plans.

Soft skills:

  • Communication: Exceptional written and verbal communication to effectively engage both technical and non-technical stakeholders.

  • Leadership: Strong collaborative leadership and influencing skills to drive alignment and motivate cross-functional teams.

  • Problem-solving: A proactive, problem-solving mindset and the ability to operate effectively in ambiguous, fast-paced environments. 

Experience and education:

  • 12+ years in program or project management, preferably in AI/ML or technology-driven environments.

  • Proven track record of delivering complex, cross-functional programs.

  • Education: Bachelor’s or Master’s degree in Computer Science, Electronical Engineering, Data Science, or related field.

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

#LI-6692

Top Skills

Ai/Ml
AWS
Azure
Continuous Delivery
Continuous Integration
DevOps
Generative Ai
GCP
Infrastructure As Code
Site Reliability Engineering

Similar Jobs

5 Days Ago
Easy Apply
Remote or Hybrid
US
Easy Apply
Senior level
Senior level
Mobile • Security • Software • Cybersecurity
The Senior DevOps Program Manager will lead DevOps initiatives, manage cloud infrastructure projects, drive program execution, and ensure compliance with industry standards while collaborating with cross-functional teams.
Top Skills: AWSCi/CdDatadogDockerGithub ActionsGrafanaJenkinsKubernetesPrometheusTerraform
17 Minutes Ago
Remote or Hybrid
United States
106K-163K Annually
Senior level
106K-163K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Sr. HR Reporting Analyst will provide reporting support, develop Workday reports and dashboards, and manage stakeholder requests, ensuring solutions align with HR and business needs.
Top Skills: Power BIPythonRSQLWorkday
18 Minutes Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The role involves leading performance engineering for GM Motorsports, focusing on vehicle dynamics, simulation, and improving on-track performance through collaboration and testing.
Top Skills: AdamsAIAtlasC#DymolaMatlabMlModelicaMotecPi ToolboxPythonSimulation ToolsWindarab

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account