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Embedded Ai Jobs (NOW HIRING)

Build Process-Embedded AI * Design and deploy mini‑assistants, copilots, reusable AI personas, and workflow automations * Build lightweight agents (e.g., Gemini Gems or equivalent) embedded into ...

Senior AI Product Manager

$129.50K - $170.90K/yr

Determine clear build vs. buy decisions and present to the AI COE for approval: when to invest in custom AI solutions vs. leveraging vendor-embedded AI (Claude, Workday AI, Fieldguide AI, etc.) vs ...

Senior Embedded Software Engineer

Panama City, FL · Hybrid

$110.60K - $145K/yr

Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile (Scrum, Kanban, Crystal Methods, etc.) and Hybrid project teams SAIC is a premier technology ...

Embedded Engineer

Columbia, MD · On-site

$109.72K - $228.22K/yr

Overview BigBear.ai is seeking an Embedded Engineer to join and assist and meet mission needs for our government customer. At BigBear.ai, you'll work alongside some of the brightest minds in ...

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110.20K - $144.40K/yr

Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile (Scrum, Kanban, Crystal Methods, etc.) and Hybrid project teams Overview SAIC accepts applications on ...

AI Engineer III

Austin, TX · On-site

$57 - $76.50/hr

Lead development and deployment of AI models on embedded and edge devices, ensuring performance, reliability, and lowlatency operation. * Design and maintain scalable data pipelines, training ...

AI Engineer III

Austin, TX · On-site

$57 - $76.50/hr

Lead development and deployment of AI models on embedded and edge devices, ensuring performance, reliability, and low-latency operation. * Design and maintain scalable data pipelines, training ...

Embedded & AI Integration: Support the integration of automated AI-based anomaly detection features within embedded platforms, including exposure to machine learning inference pipelines and ...

Audit and rationalize the AI capabilities embedded across LVT's existing tech stack - driving adoption of high-value tools, consolidating redundancies, and deprecating underutilized spend. * Build ...

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

Senior Embedded Software Engineer

Las Vegas, NV · On-site +1

$149K - $198.50K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

Senior Embedded Software Engineer

Pittsburgh, PA · On-site +1

$149K - $198.50K/yr

If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you.

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Embedded Ai information

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$70K

$153.4K

$174K

How much do embedded ai jobs pay per year?

As of May 30, 2026, the average yearly pay for embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an Embedded AI job?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are the key skills and qualifications needed to thrive in the Embedded Ai position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What are some common challenges faced by Embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.
What cities are hiring for Embedded Ai jobs? Cities with the most Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
What states have the most Embedded Ai jobs? States with the most job openings for Embedded Ai jobs include:
Infographic showing various Embedded Ai job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

AI Innovation Lead

Crescendo.ai

San Francisco, CA • On-site

Full-time

Posted 29 days ago


Job description

Role Details
Location: Preferred San Francisco- hybrid schedule, will consider remote
About Us

Crescendo is the first AI‑native contact center — combining auto‑tuning AI with multilingual human experts to deliver performance‑guaranteed customer experiences. In a category full of hype, we stand apart by delivering measurable outcomes at speed and scale.

We don’t just ship software. We deliver results — guaranteed.
 

The Role

We’re hiring multiple AI Innovation Leads to help embed practical, process‑level AI across Crescendo. These roles are hands‑on builders and operators who turn AI capability into real business impact inside functions like GTM, Operations, G&A, Product, and Corporate teams.

This role may sit in different parts of the organization depending on deployment and can be hired as either full‑time or contract.

You’ll design and deploy mini‑assistants, copilots, reusable AI personas, workflow automations, and lightweight agents (e.g., Gemini Gems or equivalent) that integrate directly into how teams work every day.

Your mandate: move teams from experimenting with AI to operating with AI.

What You’ll Do:

Build Process-Embedded AI

  • Design and deploy mini‑assistants, copilots, reusable AI personas, and workflow automations
  • Build lightweight agents (e.g., Gemini Gems or equivalent) embedded into team workflows
  • Translate manual or fragmented work into AI‑enabled execution
  • Ensure solutions are reusable, scalable, and measurable
Identify High‑Leverage Automation Opportunities
  • Evaluate workflows for automation potential
  • Reduce manual effort across planning, reporting, coordination, and execution
  • Improve speed, consistency, and quality through AI‑driven workflows
  • Help teams move from prompts to productionized usage
Translate AI Insight Into Execution
  • Convert AI outputs into structured, trackable workstreams
  • Break initiatives into clear deliverables with owners and timelines
  • Support adoption inside tools like Asana, Jira, CRM platforms, or operational systems
Strengthen the Company’s AI Operating Muscle
  • Integrate AI into team planning and execution
  • Increase visibility into cross-functional AI opportunities
  • Build and scale repeatable AI workflows and standards
  • Teach and train teams on the AI workflows and improvements you create to drive adoption
  • Enable others to independently use AI effectively
  • Help teams integrate AI into planning and execution rhythms

What We're Looking For:

  • 2–6 years of experience in consulting, business operations, product ops, GTM ops, automation, or similar roles
  • Hands‑on experience applying AI to real workflows (not just experimentation)
  • Experience building assistants, copilots, reusable prompt systems, or lightweight agents
  • Strong ability to translate ambiguous opportunities into shipped solutions
  • Comfort working across functions and navigating fast‑moving environments
  • Ownership mindset with bias toward action
Strong Signals (Nice to Have)
  • Experience building Gemini Gems or similar agent workflows
  • Experience inside high‑growth or AI‑native companies
  • Familiarity with SaaS GTM or contact center operations
  • Experience evaluating AI vendors and tooling ecosystems
  • Experience supporting transformation initiatives inside teams
  • MBA or strong business background (e.g., strategy, operations, consulting) is a plus
  • Ability to work a weekly hybrid schedule in our San Francisco office


What Success Looks Like:

  • Teams adopt assistants that meaningfully reduce manual work
  • AI workflows move from experimentation to daily usage
  • High‑impact automation opportunities are identified early and shipped quickly
  • Functional teams operate faster with clearer execution leverage
  • Crescendo builds durable, reusable internal AI capabilities

Why Crescendo?

  • Performance-Guaranteed CX → The only model with skin in the game.
  • Category Leadership → We’re not joining the conversation. We’re writing it.
  • Velocity & Scale → From mid-market agility to enterprise impact, Crescendo moves fast and delivers faster.
  • AI + Superhumans → Not one or the other — the best of both, working together.

Compensation Includes:

Compensation varies based on experience, location and engagement type (full‑time vs contract) and may include:

  • Base Salary: $150,000 - $170,000 (full‑time roles)
  • Performance bonus eligibility (full‑time roles)
  • Equity participation (full‑time roles)

Join us to define the future of customer experience in the AI era.

Company Culture Is At Our Core

Core values give our work intention and our culture its edge. They’re the standards we hold for ourselves, our partners, and each other.

  • Care for others: Empathy is a key driver. When people thrive, so does the mission.
  • Embrace growth: Curiosity fuels progress. Take bold risks, sharpen your edge, go forward.
  • Manifest trust: Trust is our currency. Earn it daily, protect it fiercely, and let it fuel what’s next.
  • Take ownership: Bold choices with integrity at the core—that’s how impact lasts.
  • Be humble: Humility opens the door to better ideas. Hear others, lift others, keep learning.

Crescendo is proud to be an equal-opportunity workplace. We value diversity, inclusion, equity, and belonging and these pillars are at the heart of how we work together. We are committed to providing equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status, or any other applicable legally protected characteristics in the location in which the candidate is applying. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We are committed to the inclusion of all individuals and will make reasonable accommodations for qualified individuals with disabilities in our job application process.  If you require assistance or accommodations to participate in the job application or interview process, please contact careers@crescendo.ai.

PRIVACY NOTICE

Crescendo is committed to ensuring your privacy and the protection of your personal data. By filling out the forms associated with your job application and submitting your data to us, you are giving us your consent to process your data and store it for potential recruitment and hiring purposes.

To understand more about Crescendo’s privacy program, including your rights and options for managing the personal data you submit to us, please visit our Privacy Center here.

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