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Entry Level Embedded Ai Jobs (NOW HIRING)

Glean

Software Engineer, University Grad

Mountain View, CA · On-site

$150K - $160K/yr

... deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every ...

FieldAI

Electrical Engineer-Federal

Pittsburgh, PA · On-site

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Create PCBs for power distribution, protocol bridging, and embedded control. * Networking ...

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Entry Level Embedded Ai information

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$70K

$153.4K

$174K

How much do entry level embedded ai jobs pay per year?

As of Jun 11, 2026, the average yearly pay for entry level 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 entry level embedded AI engineer?

An entry level embedded AI engineer is a professional who helps design, develop, and implement artificial intelligence (AI) solutions on embedded systems, such as microcontrollers and other hardware devices with limited processing power. Their role often involves integrating machine learning models into devices, optimizing code for hardware constraints, and testing AI functionalities in real-world scenarios. Entry level engineers typically work under the guidance of more experienced engineers and may participate in tasks like data preprocessing, algorithm selection, firmware development, and debugging. A background in computer engineering, embedded systems, or related fields is usually required for this position.

What are some common challenges faced by entry-level embedded AI engineers, and how can they overcome them?

Entry-level embedded AI engineers often face challenges such as optimizing AI models to run efficiently on resource-constrained hardware, integrating machine learning algorithms with embedded systems, and debugging complex interactions between hardware and software. Overcoming these challenges typically involves developing strong programming skills (especially in C/C++ and Python), gaining familiarity with embedded development environments, and learning to use profiling tools to identify performance bottlenecks. Collaborating closely with senior engineers and participating in code reviews can also accelerate learning and help resolve technical hurdles more effectively.

What are the key skills and qualifications needed to thrive as an Entry Level Embedded AI Engineer, and why are they important?

To thrive as an Entry Level Embedded AI Engineer, you need a solid understanding of embedded systems, programming languages like C/C++ or Python, and basic knowledge of AI/ML concepts, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with microcontrollers, real-time operating systems (RTOS), and tools such as TensorFlow Lite or PyTorch Mobile is often necessary. Strong problem-solving abilities, attention to detail, and effective teamwork set candidates apart in this role. These skills and qualities are crucial for developing efficient, reliable AI solutions that operate seamlessly on embedded hardware in real-world applications.

What is the difference between Entry Level Embedded Ai vs Entry Level Machine Learning Engineer?

AspectEntry Level Embedded AiEntry Level Machine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related field; knowledge of embedded systemsBachelor's in Computer Science, Data Science, or related; understanding of ML algorithms
Work EnvironmentEmbedded device development, hardware-software integrationSoftware development, data modeling, algorithm implementation
Industry UsageConsumer electronics, IoT devices, automotive systems

Entry Level Embedded Ai focuses on developing AI solutions within embedded systems, often requiring hardware knowledge. In contrast, Entry Level Machine Learning Engineer emphasizes designing and implementing ML models primarily in software. Both roles typically require a related bachelor's degree and are common in tech and electronics industries, but they differ in their focus on hardware versus software development.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or embedded AI can earn salaries approaching or exceeding $500,000 annually, especially in senior or executive roles at large tech companies. These positions often require advanced skills, certifications, and significant industry experience.

Can I get an AI job with no experience?

Entry level embedded AI positions often require some foundational knowledge of programming, electronics, and machine learning concepts, but many employers are willing to consider candidates with relevant coursework, personal projects, or certifications. Gaining skills in programming languages like Python or C++, and familiarity with AI frameworks such as TensorFlow or PyTorch, can improve your chances. Internships, online courses, and hands-on projects can help build the experience needed to qualify for entry-level roles.

Is embedded AI a good career?

Embedded AI is a growing field that involves developing artificial intelligence systems integrated into hardware devices, often requiring skills in programming, hardware design, and machine learning. It offers opportunities in industries like robotics, IoT, and consumer electronics, with demand for professionals who can optimize AI algorithms for resource-constrained environments. The career typically involves continuous learning and working with tools such as embedded systems, microcontrollers, and AI frameworks.

What is the most entry-level AI job?

An entry-level AI job often involves roles such as AI intern, junior machine learning engineer, or AI research assistant. These positions typically require foundational knowledge of programming, data analysis, and basic understanding of AI concepts, with some roles offering on-the-job training or requiring certifications in relevant tools like Python or TensorFlow.
More about Entry Level Embedded Ai jobs
What cities are hiring for Entry Level Embedded Ai jobs? Cities with the most Entry Level 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 job categories do people searching Entry Level Embedded Ai jobs look for? The top searched job categories for Entry Level Embedded Ai jobs are:
Entry Level Embedded Ai jobs near you
Infographic showing various Entry Level Embedded Ai job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

New Grad Software Engineer - Physical AI Compute

Blueridge Global Partners Inc.

Irvine, CA

Other

Posted 9 days ago

Job description

Positon Name: New Grad Software Engineer — Physical AI Compute


About Blueridge

Blueridge is building the compute foundation for real-time Physical AI — intelligent systems that must process rich sensor data, make decisions, and act under demanding real-world constraints of latency, bandwidth, power, size, and reliability.

Our X²PU architecture is a unified polymorphic compute platform designed for workloads that span signal processing, AI/ML, linear algebra, optimization, control, and real-time decision-making. Blueridge Global is developing this platform through full-stack hardware, software, and algorithm co-design for applications such as autonomous systems, robotics, wireless infrastructure, aerospace and defense, industrial automation, and edge AI.

Blueridge Global is led by an experienced team of computer architects, chip designers, software leaders, and semiconductor executives with deep backgrounds in advanced SoCs, wireless, AI/ML, compute, and high-volume technology products. This is an opportunity to join a team building a new class of compute platform for real-world AI.


Location

Primary location: Irvine, CA

Alternate location: Santa Clara, CA

This is an on-site role.


Job role groups

Software Developers and Engineers, Computer Systems Engineers/Architects, Microsystems Engineers


Job Type

Full-time, new graduate / entry-level


Compensation & Benefits

Expected pay

80,000–100,000 USD per year

Additional compensation

Bonus Equity package

Benefits

MedicalDentalPaid time off401(k) match Vision


About the Role

As a New Grad Software Engineer — Physical AI Compute, you will help build the software foundation for Xcelerium’s X²PU architecture.

This role sits at the intersection of computer architecture, compilers, SDKs, performance modeling, AI frameworks, and Physical AI applications. You will contribute to tools and software that allow developers to understand, program, optimize, and deploy workloads on a new X²PU architecture purpose-built for real-time Physical AI.

You will work with leading computer architects and expert chip designers to help define the software stack for a new class of real-time compute.

We are looking for highly curious, technically strong, and ambitious engineers with excellent programming skills, strong systems instincts, and the desire to learn quickly in a deep technical environment.


What You’ll Do

  • Build architectural models, simulators, and performance-analysis tools for the X²PU architecture.
  • Contribute to compiler, runtime, SDK, and developer-tooling infrastructure for programming and optimizing X²PU workloads.
  • Help map Physical AI workloads onto a new computer architecture, including signal processing, AI/ML, linear algebra, optimization, and control workloads.
  • Develop and optimize software kernels, libraries, APIs, examples, and application demos.
  • Work on software tools that help evaluate latency, throughput, memory movement, utilization, power, and performance tradeoffs.
  • Collaborate with architects, chip designers, firmware engineers, and application developers to connect hardware capabilities with software usability.
  • Prototype Physical AI applications in areas such as sensing, perception, autonomy, robotics, wireless, or real-time edge AI.
  • Integrate with or build around modern AI and compiler ecosystems where appropriate.
  • Write clean, well-tested, well-documented code that can grow into production-quality software infrastructure.
  • Participate in technical design reviews and help shape how developers program a new X²PUplatform.


What We’re Looking For

  • B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent hands-on project/internship experience.
  • Strong programming skills in C/C++ and Python.
  • Strong fundamentals in data structures, algorithms, systems programming, debugging, and software engineering.
  • Familiarity with computer architecture concepts such as memory hierarchy, parallelism, instruction execution, vector/SIMD processing, accelerators, GPUs, DSPs, or embedded systems.
  • Familiarity with compilers, runtimes, SDKs, AI frameworks, or performance modeling.
  • Comfort working in Linux development environments using tools such as Git, build systems, debuggers, profilers, and test frameworks.
  • Strong analytical ability and interest in performance, efficiency, latency, and real-time system behavior.
  • Clear written and verbal communication skills, including the ability to explain technical tradeoffs.
  • High ownership, intellectual curiosity, and a desire to learn from experienced engineers.

RTL, System Verilog, or hardware design experience is not required for this role. Curiosity about hardware/software co-design and computer architecture is important.


Preferred Qualifications

  • Experience with compiler infrastructure such as LLVM, MLIR, TVM, IREE, Halide, XLA, or similar systems.
  • Experience with AI frameworks or model formats such as PyTorch, TensorFlow, JAX, ONNX, or related deployment tools.
  • Experience with performance modeling, architecture simulation, workload analysis, or benchmarking.
  • Experience optimizing software for GPUs, DSPs, CPUs, NPUs, FPGAs, or other accelerators.
  • Familiarity with CUDA, OpenCL, SYCL, SIMD/vector programming, embedded software, or low-level performance optimization.
  • Interest in real-time systems, robotics, autonomy, edge AI, signal processing, radar/RF sensing, control systems, or physical-world computing.
  • Experience with numerical computing, linear algebra, FFTs, filters, optimization algorithms, or ML inference.
  • Research, internship, open-source, compiler, systems, AI, robotics, or architecture project experience.


Projects We’d Be Excited to Discuss

We are especially interested in candidates who have built, optimized, or analyzed complex software or systems projects, such as:

  • A compiler pass, code generator, graph compiler, runtime, or domain-specific language.
  • An architectural simulator, performance model, profiler, or benchmarking framework.
  • A CUDA, OpenCL, SIMD, DSP, or accelerator-optimized kernel.
  • An AI model deployment, quantization, inference, or edge-AI project.
  • A robotics, perception, sensing, control, or autonomous-systems application.
  • A signal-processing pipeline involving FFTs, filters, beamforming, localization, tracking, or sensor fusion.
  • An SDK, developer tool, API, library, or open-source software project.
  • A research or class project involving computer architecture, compilers, machine learning systems, or embedded systems.

Why Join Blueridge Global Partners Inc.

  • Work with leading computer architects and expert chip designers on a new X²PU architecture.
  • Help build the compiler, SDK, modeling, and application software stack for X²PU.
  • Contribute to a differentiated platform for real-time Physical AI and autonomy.
  • Work across the full stack: architecture, compilers, runtime software, performance tools, AI frameworks, and applications.
  • Build software where latency, throughput, memory movement, power, and programmability all matter.
  • Learn how advanced hardware and software are co-designed for production silicon.
  • Join a team that values technical depth, first-principles thinking, clean code, thoughtful documentation, and high ownership.

Equal Opportunity

  • Blueridge Global is an equal opportunity employer. We are committed to building a team that reflects a wide range of backgrounds, experiences, and perspectives. We encourage candidates who are excited by our mission and believe they can contribute to apply.

Position Details

Job title New Grad Software Engineer

Position type Job

Work-Study program No


Location Requirements

Location type Onsite

Onsite location

Irvine, California, United States · Santa Clara, California, United States


Time Requirements

Schedule Full time

Employment duration Permanent


Candidate Qualifications & Skill

Work authorization

  • This job requires US work authorization
  • This job is open to candidates with Curricular Practical Training (CPT)
  • This job is open to candidates with Optional Practical Training (OPT)


Skills

Algorithms/C++Data Structures Debugging PythonSoftware Engineering Systems Programming

Degree level Bachelors/Masters

School year Senior

Latest graduation date June 2026

Major groups Computer Engineering Electrical Engineering

Minimum GPA 3.5

Apply