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Entry Level Systems Engineer Jobs in Anaheim, CA

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Entry Level Draftsman

Anaheim, CA · On-site

$20 - $25/hr

Entry level Draftsmen: Duties will be assisting the engineering team by preparing the necessary ... engineers, & installs fire sprinkler systems and fire alarm systems. We design & install these ...

The Advanced Effector Guidance Systems (AEGS) Department develops guidance section electronics ... We are seeking entry-level candidates willing to collaborate, innovate, and team with our engineers ...

Electrical Engineer 1

Irvine, CA · On-site

$75K - $95K/yr

About the job Most entry-level EE jobs put you in a corner running the same test for a year. This ... Work within a certified quality management system (ISO 13485, FDA 21 CFR 820) and design control ...

Electrical Engineer 1

Irvine, CA · On-site

$75K - $95K/yr

About the job Most entry-level EE jobs put you in a corner running the same test for a year. This ... Work within a certified quality management system (ISO 13485, FDA 21 CFR 820) and design control ...

Bachelor's degree in Engineering, Quality, Computer Science, Information Systems, Data Science, or a related technical field required. * Entry-level or early-career experience (typically 0-2 years ...

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Entry Level Systems Engineer information

See Anaheim, CA salary details

$56K

$133.2K

$174.8K

How much do entry level systems engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level systems engineer in Anaheim, CA is $133,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $164,400.00 per year, depending on experience, location, and employer.

What is an entry level systems engineer?

An Entry Level Systems Engineer is responsible for assisting in the design, development, testing, and maintenance of system infrastructure and applications. They work under the guidance of senior engineers to ensure system performance, security, and reliability. Typical tasks include troubleshooting technical issues, supporting system integrations, and documenting processes. This role requires foundational knowledge in systems engineering, problem-solving skills, and familiarity with programming or networking concepts. It is often an entry point for those pursuing careers in IT, software, or hardware engineering.

What does an entry level systems engineer do?

A typical day for an Entry Level Systems Engineer often involves monitoring system performance, assisting with troubleshooting technical issues, and supporting more senior engineers on larger infrastructure projects. You might work on tasks such as configuring servers, running diagnostics, updating documentation, or implementing routine maintenance. Collaboration is common, as you'll interact with IT support teams, software developers, and network administrators to resolve problems and improve system reliability. Expect a blend of hands-on technical work, learning opportunities, and regular communication with team members to ensure smooth IT operations.

What are the key skills and qualifications needed to thrive as an entry level systems engineer?

To thrive as an Entry Level Systems Engineer, you should possess a solid understanding of computer hardware, networking, operating systems, and typically hold a bachelor's degree in engineering, computer science, or a related field. Familiarity with tools like Linux/Unix, scripting languages, virtualization platforms, and foundational certifications such as CompTIA Network+ or Cisco CCNA is often valued. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart. These competencies are crucial for diagnosing system issues, working with cross-functional teams, and supporting complex IT environments.

Are entry level systems engineers in high demand?

Entry level systems engineers are in steady demand due to the ongoing need for technical support, network management, and system integration across various industries. Employers often seek candidates with foundational knowledge of operating systems, networking, and certifications like CompTIA or Cisco, making these roles accessible for recent graduates with relevant skills.

Is a entry level systems engineer an entry-level job?

An entry-level systems engineer position is designed for candidates with minimal professional experience, often requiring a bachelor's degree in engineering or related fields. It typically involves learning foundational skills, such as working with operating systems, networking, and basic scripting, and may require certifications like CompTIA or Cisco. These roles are suitable for recent graduates or those transitioning into the field and usually offer on-the-job training.

What are the most commonly searched types of Systems Engineer jobs in Anaheim, CA?

The most popular types of Systems Engineer jobs in Anaheim, CA are:

What are popular job titles related to Entry Level Systems Engineer jobs in Anaheim, CA?

For Entry Level Systems Engineer jobs in Anaheim, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Systems Engineer jobs in Anaheim, CA look for?

The top searched job categories for Entry Level Systems Engineer jobs in Anaheim, CA are:

What cities near Anaheim, CA are hiring for Entry Level Systems Engineer jobs?

Cities near Anaheim, CA with the most Entry Level Systems Engineer job openings:

Infographic showing various Entry Level Systems Engineer job openings in Anaheim, CA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $133,182 per year, or $64 per hour.

Senior Sensor & Perception Engineer, Robotics Hardware

FieldAI

Irvine, CA

$118K - $158K/yr

Full-time

Re-posted 5 hours ago


Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Hardware Team:
The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, ROS, sensor drivers), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up.
 
Sensor Systems Role:
As a Sensor Systems Engineer on the Hardware Team, you will contribute to the design, integration, calibration, and validation of the sensing systems that underpin our autonomy stack. You will work with a diverse array of sensors-LiDARs, depth cameras, IMUs, GPS, and more-ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains.
 
 
What You Will Get To Do
 
 
1. Sensor System Design
  • Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices.
  • Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility.
  • Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy.
  • Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization.
 
2. Sensor System Implementation
  • Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature).
  • Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed.
  • Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.)  for optimal performance
  • Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states.
 
3. Sensor System Production & Servicing
  • Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale.
  • Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries.
  • Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments.
 
What You Have
 
  • Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, or a related field.
  • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.
  • Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS.
  • Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams.
  • Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation.
  • Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups)
  • Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI.
  • Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.).
  • Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints.
  • Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions.
  • Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling.
 
What Will Set You Apart
 
  • Scaling: Experience taking systems from prototype to large scale production.
  • Field Environments: Experience developing systems for harsh field environments.
  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.
  • Systems Level Robotics: Fluency across software, electrical, and mechanical systems.
  • Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how sensor performance impacts autonomy algorithms.
$150,000 - $250,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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