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Associate Engineering Manager Jobs in Fremont, CA

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Associate Engineering Manager information

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$13

$27

$55

How much do associate engineering manager jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for associate engineering manager in Fremont, CA is $27.82, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $32.64 per hour, depending on experience, location, and employer.

What is an associate engineering manager?

Associate Engineering Managers are early-career leaders who support engineering teams by overseeing projects, coordinating team members, and helping deliver technical solutions. They typically assist senior engineering managers by handling daily operations, tracking project progress, and facilitating communication between engineers and other departments. This role often serves as a stepping stone to higher management positions and requires both technical expertise and strong leadership skills.

What are the key skills and qualifications needed to thrive as an associate engineering manager, and why are they important?

To thrive as an Associate Engineering Manager, you need a solid background in engineering principles, experience leading projects, and typically a relevant degree in engineering or a related field. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and sometimes Agile certifications is highly valued. Strong communication, leadership, and problem-solving skills help in motivating teams and managing stakeholder expectations. These skills and qualities are essential for ensuring project success, fostering team development, and delivering high-quality engineering outcomes.

What are the primary challenges faced by an associate engineering manager when transitioning from an individual contributor role?

One of the main challenges Associate Engineering Managers encounter during this transition is balancing technical responsibilities with new leadership duties. Instead of focusing solely on coding or technical tasks, you will need to prioritize mentoring, project management, and facilitating team collaboration. This shift often requires developing strong communication skills and the ability to delegate effectively while still staying engaged with technical decisions. Navigating these changes successfully can set the foundation for further leadership opportunities.

What is the difference between Associate Engineering Manager vs Software Engineer?

AspectAssociate Engineering ManagerSoftware Engineer
Required CredentialsBachelor's degree in engineering or related field; some roles prefer management or leadership experienceBachelor's degree in computer science, software engineering, or related field
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsDevelops, tests, and maintains software applications
Employer & Industry UsageUsed in tech companies, startups, and large corporations for team leadership rolesCommon across all tech and software development companies
Common Search & Comparison IntentUnderstanding managerial responsibilities and career progressionFocus on technical skills and coding responsibilities

The Associate Engineering Manager role bridges technical expertise and team leadership, overseeing projects and guiding engineers. In contrast, Software Engineers focus primarily on coding and technical development. While both roles require a strong technical background, the Associate Engineering Manager also emphasizes leadership, project management, and cross-team collaboration.

Are associate engineering managers in demand?

Associate engineering managers are in growing demand as companies seek professionals with leadership skills, technical expertise, and project management abilities. The role often requires knowledge of tools like Agile or Scrum and relevant certifications, making it a valuable position in technology and engineering sectors.

What does an associate engineering manager get paid?

An associate engineering manager's salary typically ranges from $80,000 to $120,000 annually, depending on experience, location, and company size. They often have a background in engineering and may oversee small teams or projects, with compensation reflecting their leadership and technical skills.

What are popular job titles related to Associate Engineering Manager jobs in Fremont, CA?

For Associate Engineering Manager jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Associate Engineering Manager jobs in Fremont, CA look for?

The top searched job categories for Associate Engineering Manager jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Associate Engineering Manager jobs?

Cities near Fremont, CA with the most Associate Engineering Manager job openings:

Associate Engineering Manager jobs near you
Infographic showing various Associate Engineering Manager job openings in Fremont, CA as of September 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $57,867 per year, or $27.8 per hour.

Applied AI Engineering Manager

San Francisco, CA • On-site

Jobright.ai
See more jobs at Jobright.aiexternal

$200 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Lead the development and deployment of AI/ML-powered capabilities across product lines.

  • Manage, mentor, and inspire a team of AI engineers and ML researchers to translate AI research into practical applications.

  • Architect scalable AI solutions and collaborate with cross-functional teams to integrate AI capabilities into platforms.

Job description

CHAOS Industries is a global technology company focused on delivering next-generation capabilities to the defense and critical industrial sectors. They are seeking an experienced Applied AI Engineering Manager to lead the development and deployment of AI/ML-powered capabilities across their product lines, managing a team of researchers and engineers to translate advanced AI research into practical applications, particularly in defense.

Aerospace Government National Defense Big Data Military National Security Real Time Security

Work & Life Balance No H1B Security Clearance Required Top Investors Unicorn with $4.5B valuation

Responsibilities

Lead Applied AI Initiatives: Translate cutting-edge AI/ML research into deployable solutions, bridging the gap between academic innovation and operational impact

Team Leadership: Manage, mentor, and inspire a team of PhD-level AI engineers and ML researchers. Foster a culture of experimentation, rigor, and real-world delivery

System Architecture & Integration: Architect scalable AI solutions for perception, decision-making, sensor fusion, predictive analytics, and autonomous operations

Productization of AI: Ensure AI models are robust, interpretable, testable, and performant under real-world conditions—especially in adversarial, low-power, or edge-deployed environments

Cross-functional Collaboration: Work closely with systems, software, hardware, and product teams to define AI requirements, develop interfaces, and integrate capabilities into platforms

Stakeholder Engagement: Represent CHAOS in technical briefings, customer discussions, and strategy sessions with government and industry partners

Hands-On Development: While this is a leadership role, we value technical engagement. You should be comfortable rolling up your sleeves when needed

Work onsite 4-5 days per week out of our offices in San Francisco, Hawthorne, or Seattle

Travel up to 20% as needed to support program and customer objectives

QualificationRequired

Degree in Computer Science, Machine Learning, Artificial Intelligence, or related technical discipline

10+ years of experience in AI/ML development, with at least 5 years leading technical teams

Proven track record of deploying AI solutions in production or operational systems, not just in research settings

Experience with embeddings, RAG, RLHF, prompt engineering, and fine tuning

Deep expertise in applied ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex, and JAX), and experience with model lifecycle, deployment, and MLOps pipelines

Familiarity with embedded, edge, or resource-constrained AI environments

Strong knowledge of reinforcement learning, NLP, or signal processing

Experience interfacing with databases (SQL, MongoDB, etc.)

U.S. Citizenship or lawful permanent residency with the ability to obtain and maintain a U.S. security clearance

Must be able to work onsite 4–5 days per week in San Francisco, Hawthorne, or Seattle

Preferred

Current or prior U.S. security clearance

Experience with AI in defense, or aerospace

Familiarity with DARPA, DoD, or programs related to AI

Background in AI, adversarial robustness, or mission assurance

Familiarity with defense compliance frameworks (e.g., RMF, STIGs, or MIL-STD)

Experience with tools like JIRA and Confluence

Health Benefits: Your medical, dental and vision benefits will be 100% paid for by the company

Life, FSA, HSA, 401k (+ Company match), and more

Free daily lunch

Unlimited PTO

Casual dress code

Relocation assistance + (coming soon!) annual bonuses

Company

Advanced sensing and detection solutions for defense and border protection.

Valor Equity Partners Accel,New Enterprise Associates Accel

Leadership Team

Bo Marr

Co-founder, co-CEO, CTO of Chaos Industries

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