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Manager Edge Ai Machine Learning Jobs in Georgetown, TX

ARM

Senior Product Manager, Edge AI CPU

Austin, TX · On-site

$125K - $165K/yr

The Senior Product Manager, Edge AI CPU will drive product strategy across three strategic focus areas: * Physical IP Product Management - Leading the product strategy and lifecycle for Physical IP ...

ARM

Senior Product Manager, Edge AI CPU

Austin, TX

$125K - $165K/yr

The Senior Product Manager, Edge AI CPU will drive product strategy across three strategic focus areas: * Physical IP Product Management - Leading the product strategy and lifecycle for Physical IP ...

Kake Group

Senior AI Talent Sourcer

Austin, TX · Remote

... edge AI initiatives. If you thrive in complex talent markets, enjoy uncovering hard-to-find ... Core Requirements * 5+ years of experience sourcing AI , machine learning , LLM , research ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science ... Communicates clearly with product managers, engineers, and operational teams. * Takes ownership of ...

Avride

Machine Learning Engineer

Austin, TX · On-site

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ...

Avride

Machine Learning Engineer

Austin, TX

In this role, you will conduct experiments, manage large-scale datasets, and implement deep ... Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning ...

Avride

Machine Learning Engineer

Austin, TX · On-site

The role involves developing and optimizing machine learning models, managing large-scale datasets ... Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel ...

webAI

Director of Applied AI

Austin, TX · On-site

... and managing multiple high-impact projects simultaneously. • Ability to communicate complex ... Machine Learning, AI, or Applied Mathematics. • Background in distributed systems, edge computing ...

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All JobsEdge Ai Machine Learning JobsManager Edge Ai Machine Learning JobsManager Edge Ai Machine Learning Jobs in Georgetown, TX

Manager Edge Ai Machine Learning information

See Georgetown, TX salary details

$28.8K

$71.9K

$120.8K

How much do manager edge ai machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for manager edge ai machine learning in Georgetown, TX is $71,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $81,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

What job categories do people searching Manager Edge Ai Machine Learning jobs in Georgetown, TX look for? The top searched job categories for Manager Edge Ai Machine Learning jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Manager Edge Ai Machine Learning jobs? Cities near Georgetown, TX with the most Manager Edge Ai Machine Learning job openings:
Manager Edge Ai Machine Learning jobs near you
Infographic showing various Manager Edge Ai Machine Learning job openings in Georgetown, TX as of June 2026, with employment types broken down into 2% As Needed, 47% Full Time, 47% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $71,895 per year, or $34.6 per hour.
Senior Product Manager, Edge AI CPU

Senior Product Manager, Edge AI CPU

ARM

Austin, TX • On-site

$125K - $165K/yr

Full-time

Posted 21 days ago

Job description

Arm is enabling the next generation of Edge AI by combining industry-leading compute platforms with optimized implementation technologies that accelerate customer innovation. As AI workloads continue to expand across industrial, automotive, networking, and embedded markets, delivering differentiated compute solutions requires strong product leadership, deep market insight, and close collaboration with strategic partners.
The Senior Product Manager, Edge AI CPU will drive product strategy across three strategic focus areas:
  • Physical IP Product Management - Leading the product strategy and lifecycle for Physical IP products developed within Solution Engineering (SE), ensuring alignment with Arm's CPU roadmap and customer requirements.
  • Market & Competitive Strategy - Drive competitive positioning and market strategy for Arm CPU products targeting Edge AI markets.
  • Strategic Customer Success - Drive customer adoption and commercial success with Tier 1 Edge AI partners through strategic customer engagement and cross-functional leadership.

Working across CPU Engineering, Solution Engineering, Business Units, Sales, Marketing, Finance, and Executive Leadership, you will influence product direction, shape market strategy, and strengthen Arm's leadership in Edge AI compute.
Responsibilities:
Physical IP Product Management
  • Lead the end-to-end product lifecycle for Physical IP products developed within Solution Engineering (SE), from market requirements and business planning through product definition, development, launch, and lifecycle management.
  • Define product strategy and roadmaps aligned with customer needs, technology trends, and Arm's CPU roadmap.
  • Translate market and customer insights into clear engineering requirements and product priorities.
  • Develop cases, commercial justifications, and investment recommendations to support product development and roadmap decisions.
  • Partner closely with engineering teams to balance customer value, technical feasibility, schedules, and business goals.

Market & Competitive Strategy
  • Define and drive Arm's positioning for CPU products targeting Edge AI markets.
  • Analyze market trends, competitive CPU offerings, AI workloads, software ecosystems, and emerging opportunities to shape product strategy and roadmap decisions.
  • Develop product messaging, benchmarks, competitive analyses, and exec-level collateral.
  • Influence CPU roadmap priorities through market intelligence, competitive insights, and customer feedback.
  • Represent Arm's CPU strategy through customer engagements, analyst briefings, industry conferences, and executive presentations.

Strategic Customer Success
  • Lead engagement with Tier 1 Edge AI customers throughout the product lifecycle.
  • Build trusted relationships with executive and technical team members to accelerate adoption of Arm technologies.
  • Collaborate with Sales, Account Managers, Solution Architects, and Engineering teams to secure design wins and deliver customer success.
  • Champion customer priorities internally to ensure future product roadmaps align with evolving market opportunities.
  • Lead executive roadmap discussions, business reviews, and planning sessions with key partners.

Required Skills and Experience:
  • Solid understanding of semiconductor product management and technology strategy.
  • Knowledge of CPU architectures, SoC design, and Edge AI market trends.
  • Experience defining product roadmaps, competitive positioning, and go-to-market strategies.
  • Strong commercial competence with the ability to balance customer requirements, engineering priorities, and business goals.
  • Demonstrated ability to influence cross-functional teams and senior partners within a global organization.
  • Excellent analytical, communication, and relationship management abilities.

Education & Qualifications:
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 8+ years of experience in Product Management, Product Strategy, Technical Marketing, or a related role within the semiconductor industry.
  • Experience leading semiconductor IP, CPU, SoC, or platform products throughout their lifecycle.
  • Proven experience developing cases, product roadmaps, and commercial strategies.
  • Excellent communication, partner management, and presentation skills.
  • Willingness to travel internationally to engage with customers and Arm teams.

"Nice To Have" Skills and Experience:
  • Experience with CPU technologies, including processor architectures, system architecture, or compute platforms, is highly desirable.
  • Experience with Physical Implementation technologies, including Physical IP, implementation methodologies, or advanced semiconductor design flows, is highly desirable.
  • Understanding of Arm architecture, AMBA technologies, system interconnects, cache coherency, and Edge AI software ecosystems.
  • Experience working with Tier 1 semiconductor companies, OEMs, or strategic ecosystem partners.
  • Experience presenting to customers, executives, analysts, and industry forums.

#LI-RJ1
Please note that no relocation package is available for this role.
Salary Range:
$207,800-$281,200 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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