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Computer Developer Jobs in San Jose, CA (NOW HIRING)

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Credo, Inc

CAD Engineer/Staff CAD Engineer

San Jose, CA · On-site

$165K - $175K/yr

Role: In your role as a Staff CAD Engineer (Infrastructure), you will support and improve CAD design tool usage and flows. Projects will have high visibility with a world-wide team of development ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Qualcomm

CPU Integration CAD Engineer

Santa Clara, CA · On-site

$167K - $250K/yr

As CPU Integration CAD engineer, you will build and support the world's best implementation tools and flows. Your tools and flows will ensure our custom CPUs have industry-leading power, performance ...

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Computer Developer information

See San Jose, CA salary details

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How much do computer developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for computer developer in San Jose, CA is $61.93, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $75.77 per hour, depending on experience, location, and employer.

Which IT jobs without coding?

Computer developers typically focus on coding, but there are IT roles that do not require programming, such as IT support specialists, network administrators, technical writers, and cybersecurity analysts. These positions often emphasize troubleshooting, system management, documentation, and security protocols, with some roles requiring certifications like CompTIA or Cisco instead of coding skills.

What does a computer developer do?

A computer developer designs, writes, tests, and maintains software applications and systems. They use programming languages such as Java, Python, or C++ and often work with development tools and frameworks to create functional software solutions. Strong problem-solving skills and knowledge of software development life cycles are essential for this role.

What are the key skills and qualifications needed to thrive as a Computer Developer, and why are they important?

To thrive as a Computer Developer, you need proficiency in programming languages (such as Java, Python, or C++), software development methodologies, and a relevant degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and knowledge of databases are commonly required, and certifications like Microsoft Certified: Azure Developer Associate can be advantageous. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities set top developers apart. These skills ensure the delivery of robust, efficient, and maintainable software solutions that meet user and business needs.

What are some common challenges computer developers face when working on team projects?

Computer developers often encounter challenges such as integrating code from multiple team members, managing version control conflicts, and ensuring consistent coding standards. Effective communication within the team is crucial to clarify requirements and resolve issues quickly. Developers also need to balance individual responsibilities with collaborative tasks, such as code reviews and joint debugging sessions, to maintain project momentum and quality.

What engineers make $500,000?

Senior software engineers, especially those in specialized fields like machine learning, cloud computing, or cybersecurity, can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles in large tech companies or startups with equity stakes tend to have the highest compensation levels for engineers with extensive experience and advanced skills.

Can I make 200k a year as a software engineer?

Software engineers can earn $200,000 or more annually, especially with experience, specialized skills, and working in high-paying industries or locations. Senior roles, expertise in areas like AI or cybersecurity, and working at large tech companies often contribute to reaching this salary level.

What is a Computer Developer?

A Computer Developer, often referred to as a software developer or programmer, is a professional who designs, writes, tests, and maintains computer software or applications. They use programming languages to create software solutions that meet the needs of users or organizations. Computer Developers work on a range of projects, from mobile apps and web platforms to large-scale enterprise systems. Their role often involves problem-solving, coding, debugging, and collaborating with other IT professionals to deliver functional and efficient software.
What cities near San Jose, CA are hiring for Computer Developer jobs? Cities near San Jose, CA with the most Computer Developer job openings:
Computer Developer jobs near you
Infographic showing various Computer Developer job openings in San Jose, CA as of June 2026, with employment types broken down into 2% As Needed, 25% Full Time, 62% Part Time, 2% Temporary, and 9% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $128,807 per year, or $61.9 per hour.

Computer Vision Engineer - Autonomy & Perception

Pivotal

Palo Alto, CA • On-site

$131K - $154K/yr

Full-time

Posted 4 days ago

Job description

Pivotal is the leader in the emerging market of electric Vertical Takeoff and Landing (eVTOL) aircraft. We design, develop, and manufacture light eVTOL aircraft and are renowned for the BlackFly aircraft the world's first light eVTOL to fly manned missions and enter the consumer market. 
 
Efficient, compact, and simple, Pivotal aircraft are designed for a wide range of consumer, public service, and defense applications. Our distinctive tilt-aircraft architecture and scalable platform have been flying for over 10 years. Last year we announced our next-generation aircraft, the Helix, which is rapidly progressing toward general release and scalable production in 2026. 
 
Mobility is one of the most highly-valued areas of modern technology investments. This is the right company, in the right space, the right strategy, at the right time. If you are ready for adventure, we invite you to join our amazing team and grow with us.

The Autonomy team at Pivotal develops advanced autonomy capabilities for our aircraft, enabling safe, precise, and reliable mission execution from takeoff to landing. We are seeking a Computer Vision Engineer to support the development of next-generation perception systems for our autonomous aerial platforms, including the Helix family of systems. 

In this role, you will collaborate with autonomy, guidance, navigation and control (GNC), flight software, and AI engineers to design, implement, and deploy computer vision algorithms that operate effectively in dynamic, real-world environments. You will work across object detection, tracking, visual localization, scene understanding, sensor fusion, and perception-driven autonomy to enable robust autonomous operations in challenging mission scenarios. 

The ideal candidate combines strong computer vision fundamentals with practical experience deploying perception systems on robotic or autonomous platforms. You will play a key role in developing vision capabilities that support navigation, obstacle avoidance, target tracking, and mission autonomy while contributing to the broader autonomy stack deployed on operational aircraft. 

Responsibilities

  • Perception & Computer Vision: Design and develop perception systems for autonomous aerial platforms operating in GPS-denied and contested environments; implement object detection, classification, segmentation, and tracking algorithms using RGB, thermal, and multimodal sensor data; develop visual perception pipelines for obstacle detection, collision avoidance, and situational awareness; build scene understanding capabilities to support autonomous navigation and mission execution; evaluate and integrate state-of-the-art computer vision and AI techniques into operational systems. 

  • Visual Navigation & Localization: Develop visual-inertial odometry, localization, and mapping algorithms; implement vision-based navigation solutions for degraded and GPS-denied environments; support SLAM and feature-based localization systems; design robust estimation methods that fuse camera, IMU, GPS, lidar, and radar data; improve navigation performance through sensor fusion and environmental awareness. 

  • Machine Learning & AI: Develop, train, and deploy deep learning models for onboard perception; create data processing, labeling, augmentation, and evaluation pipelines; optimize neural networks for real-time inference on embedded computing platforms; analyze model performance and improve robustness across operational conditions; support deployment of perception models on edge AI hardware. 

  • Camera Systems & Sensor Integration: Integrate and evaluate diverse imaging systems including RGB, stereo, fisheye, thermal, and event-based cameras; develop camera calibration workflows and sensor characterization procedures; support multi-camera synchronization and calibration efforts; improve image quality, calibration accuracy, and perception system reliability; collaborate with hardware teams to evaluate and integrate emerging sensor technologies. 

  • Testing & Validation: Develop simulation and testing frameworks for perception algorithms; support software-in-the-loop, hardware-in-the-loop, and flight testing activities; analyze flight data to identify performance gaps and improve perception robustness; establish metrics and validation procedures for autonomous perception systems; document system performance and support field deployments. 

Qualifications

  • Education: Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related technical field. 

  • Experience: 2–4 years of industry experience in computer vision, robotics, machine learning, or autonomous systems OR Master's degree with 1–2 years of industry experience. 

  • Strong proficiency in C++, Python, or Rust. 

  • Experience with OpenCV and modern computer vision frameworks. 

  • Experience developing perception systems using PyTorch, TensorFlow, or similar machine learning frameworks. 

  • Strong understanding of image processing, geometric vision, and camera systems. 

  • Experience with object detection, tracking, segmentation, and machine learning-based perception algorithms. 

  • Familiarity with sensor fusion and state estimation techniques. 

  • Experience with ROS/ROS2 or similar robotics middleware. 

  • Experience developing software in Linux environments. 

Preferred Qualifications
  • Master's or PhD in Computer Vision, Robotics, Machine Learning, Computer Science, or a related field. 
  • Experience with autonomous aircraft, UAVs, robotics, or aerospace systems. 
  • Experience with visual SLAM, visual-inertial odometry, or localization systems. 
  • Knowledge of camera calibration, multi-camera systems, and geometric computer vision. 
  • Experience integrating lidar, radar, thermal cameras, and inertial sensors into perception systems. 
  • Experience deploying AI models on embedded platforms such as NVIDIA Jetson or similar edge computing hardware. 
  • Familiarity with simulation environments such as Gazebo, Isaac Sim, AirSim, or equivalent. 
  • Experience optimizing perception systems for real-time performance and resource-constrained platforms. 
  • Contributions to open-source robotics, autonomy, or computer vision projects. 
  • Familiarity with defense industry standards and security clearance processes. 
Attributes aligned with Core Values
  • Demonstrates a proactive safety mindset by embedding safety into daily operations, identifying and mitigating risks through assessments and training, encouraging open dialogue on safety concerns, and continuously improving protocols to ensure a safe work environment.
  • Puts customers at the center of every action by deeply understanding their challenges, delivering exceptional value, and striving to exceed expectations to support their success as our core purpose.
  • Actively seeks and values diverse stakeholder perspectives, builds cross-functional relationships, and fosters trust through empathetic, fact-based communication—committing to shared decisions for the greater good.
  • Drives results with clarity and purpose by focusing on what matters most, adapting to change, taking initiative, and owning outcomes while aligning actions with a clear understanding of success at every level.
  • Navigates ambiguity with resilience and bold thinking, challenges the status quo, and combines innovative ideas with practical best practices to overcome obstacles and drive progress.
  • Fosters a high-performance culture grounded in respect, professionalism, and support—balancing high expectations with a healthy, collaborative environment and being a trusted, dependable teammate.
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA.
 
Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans.
 
Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.