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Entry Level Computer Vision Deep Learning Engineer Jobs in Lake Hughes, CA

Software Engineer (Embedded)

Los Angeles, CA ยท On-site

$115K - $145K/yr

Develop software to enable the computer vision system, monitor sensor data, perform calibrations ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

Develop software to enable the computer vision system, monitor sensor data, perform calibrations ... We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious ...

About the Job As a Software Engineer - Perception at Lodestar, you'll be joining the perception and ... By combining computer vision, image processing and machine learning, you'll develop custom models ...

Software Engineer: Perception

Los Angeles, CA ยท On-site

$140K - $180K/yr

About the Job As a Software Engineer - Perception at Lodestar, you'll be joining the perception and ... By combining computer vision, image processing and machine learning, you'll develop custom models ...

Position Summary As a Backend Engineer (Infrastructure) at HeyGen, you'll spearhead the development ... Experience with Machine Learning Infrastructure especially computer vision. * Prior experience in a ...

Automation & Controls Engineer

Los Angeles, CA ยท On-site

$100K - $140K/yr

You'll develop deep technical intuition, contribute to systems that scale, and grow into ... design, robotics, computer vision, and other systems * Implement our HMI strategy and PLC ...

Automation & Controls Engineer

Los Angeles, CA ยท On-site

$100K - $140K/yr

You'll develop deep technical intuition, contribute to systems that scale, and grow into ... design, robotics, computer vision, and other systems * Implement our HMI strategy and PLC ...

Showing results 21-40

Entry Level Computer Vision Deep Learning Engineer information

See Lake Hughes, CA salary details

$50.1K

$125.4K

$141.9K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level computer vision deep learning engineer in Lake Hughes, CA is $125,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $135,700.00 per year, depending on experience, location, and employer.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Lake Hughes, CA are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Lake Hughes, CA with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Lake Hughes, CA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $125,442 per year, or $60.3 per hour.

Software Engineer (Embedded)

Freeform

Los Angeles, CA โ€ข On-site

$115K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

SOFTWARE ENGINEER (EMBEDDED)
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.
As an Embedded Software Engineer at Freeform, you will be responsible for contributing to the architecture of critical embedded software systems that enable our advanced metal 3D printing factories to operate fully autonomously at high speeds with precision. This entails developing software solutions for hardware control/autonomy, high speed data acquisition, and custom high-performance compute systems. Projects will vary across the stack, so we expect our engineers to be flexible and always put the mission first.
3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!
Responsibilities:
  • Contribute to the architecture of state-of-the art software for an advanced production-scale metal 3D printing system
  • Design and develop the machine instruction interface to the metal 3D printing system hardware
  • Develop software to enable the computer vision system, monitor sensor data, perform calibrations, log quality data, and keep track of the health of the printing system over its lifetime
  • Work with process and control engineers to integrate control algorithms into production software
  • Work with FPGA developers to develop high-speed data acquisition software
  • Create software for collection and analysis of process data
  • Develop software required to implement production automation solutions
  • Develop, unit test, and deploy functional, scalable, robust, and maintainable software
  • Generate and maintain documentation of designed software and integrated systems

Basic Qualifications:
  • Bachelors in computer science, computer engineering, electrical engineering, applied mathematics, or related field
  • 2+ years of professional, post-graduation experience in software development using C/C++
  • Experience in real-time embedded system design with Linux OS

Nice to Have:
  • Experience working in a high-performance compute environment (FPGAs or GPUs)
  • Experience with PCIe driver development and troubleshooting
  • Experience with Rust
  • Experience with high-speed data acquisition and real time closed-loop-control systems
  • Excellent knowledge of OS coding techniques, IP protocols, interfaces, and hardware subsystems
  • Experience writing software for industrial automation systems, robotics, or related hardware
  • Creative thinker able to apply first-principles reasoning to solve complex problems
  • Excellent verbal and written communication skills

Location:
  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:
  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
  • Benefits
    • Significant stock option packages
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
    • Life insurance
    • Traditional and Roth 401(k)
    • Relocation assistance provided
    • Paid vacation, sick leave, and company holidays
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent
    • Free daily catered lunch and dinner, and fully stocked kitchenette
    • Casual dress, flexible work hours, and regular catered team building events
  • Compensation
    • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role.
    • In addition to the significant stock option package, the estimated salary range for this role is $115,000-$145,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.