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Algorithm Engineer Jobs in California (NOW HIRING)

SERES

Robotic Algorithm Engineer

Milpitas, CA · On-site

Robotics Algorithm Engineer - Humanoid Locomotion About the Role We are building a next-generation humanoid robot platform with high-bandwidth torque-controlled joints and full-body actuation. Our ...

SERES

Robotic Algorithm Engineer

Milpitas, CA

Robotics Algorithm Engineer - Humanoid Locomotion About the Role We are building a next-generation humanoid robot platform with high-bandwidth torque-controlled joints and full-body actuation. Our ...

Amat

Software/Algorithm Engineer

Santa Clara, CA · On-site +1

$152K - $208K/yr

... Software/Algorithm Engineer to join our team. In this role, you will develop and implement advanced image analysis algorithms applied to full wafer metrology data, enabling high-precision ...

Apple

Perception Algorithm Engineer

Cupertino, CA · On-site

We are looking for a self-motivated algorithm engineer who is passionate about blending modern deep learning with robust classical techniques. Minimum Qualifications PhD in Computer Science, Robotics ...

Apple

Senior Robotics Algorithm Engineer

Cupertino, CA · On-site

$128K - $177K/yr

This position requires a self-motivated algorithm engineer with strong technical and interpersonal skills to handle responsibilities including: Minimum Qualifications MS/PhD in Computer Science, Math ...

Apple

Perception Algorithm Engineer

Cupertino, CA

$150K - $277K/yr

We are looking for a self-motivated algorithm engineer who is passionate about blending modern deep learning with robust classical techniques.","responsibilities":"This position requires strong ...

Apple

Senior Robotics Algorithm Engineer

Cupertino, CA

$150K - $277K/yr

This position requires a self-motivated algorithm engineer with strong technical and interpersonal skills to handle responsibilities including:","responsibilities":"Designing and implementing AI/ML ...

Imagry

Motion Planning Engineer

San Jose, CA · On-site

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose CA, US. In this role, you will ...

Imagry

Motion Planning Engineer

San Jose, CA

Mid-Senior Algorithm Engineer | Motion Planning & Decision Making Imagry is looking for a talented Algorithm Engineer (Mid-Senior level) to join our team in San Jose CA, US. In this role, you will ...

Apple

HID Interaction Algorithm Engineer

Sunnyvale, CA · On-site

Human Interface Devices (HID) is looking for an Interaction Algorithm Engineer to help build the next generation of computing. HID operates at the intersection of hardware, software, and design. The ...

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All JobsAlgorithm Engineer JobsAlgorithm Engineer Jobs in California

Algorithm Engineer information

See California salary details

$58.7K

$110.2K

$200.3K

How much do algorithm engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for algorithm engineer in California is $110,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and stock options. These roles often require expertise in programming, algorithms, and sometimes leadership responsibilities in tech companies or startups.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, but AI technology currently complements rather than replaces their role. MLEs are essential for building, deploying, and maintaining complex AI systems, and their expertise in data handling, model tuning, and system integration remains critical as AI advances. Continuous learning and familiarity with tools like TensorFlow or PyTorch are important for MLEs to stay relevant in evolving AI environments.

What does an algorithm engineer do?

An algorithm engineer designs, develops, and optimizes algorithms to solve complex problems and improve system performance. They often work with data structures, programming languages, and tools like Python or C++, and may test algorithms in simulation or real-world environments to ensure efficiency and accuracy.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

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

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What engineers make $300,000 a year?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, and requires strong technical expertise and certifications in relevant tools and programming languages.
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Algorithm Engineer jobs near you
Robotic Algorithm Engineer

Robotic Algorithm Engineer

SERES

Milpitas, CA • On-site

Full-time

Re-posted 28 days ago

Job description

About SF MOTORS, INC. (dba SERES)
SF Motors is building the next generation of intelligent robotic systems that combine advanced mobility, autonomy, and human-like adaptability. Our mission is to revolutionize how machines move, perceive, and interact in complex environments by integrating control engineering, artificial intelligence, and machine learning at every level of design.
Job Title: Robotics Algorithm Engineer - Humanoid Locomotion
About the Role
We are building a next-generation humanoid robot platform with high-bandwidth torque-controlled joints and full-body actuation. Our short- to mid-term goal is to achieve robust and reliable locomotion in indoor service and industrial environments.
As a Robotics Algorithm Engineer focused on Locomotion, you will work across simulation, learning-based control, state estimation, and real-robot deployment. This is a highly hands-on role requiring both strong implementation skills and the ability to debug complex real-world robotic behaviors.
We are looking for engineers who not only implement algorithms, but also develop their own technical insights and adapt quickly in a rapidly evolving robotics landscape.
Responsibilities
Locomotion & Learning-Based Control
  • Develop and deploy RL-based locomotion policies for humanoid robots
  • Design training pipelines including domain randomization and sim-to-real transfer
  • Improve policy robustness for indoor service and industrial use cases
  • Analyze and debug failure modes from both simulation and real-world testing

Full-Body Control & Modeling
  • Work on whole-body control frameworks integrating learned policies
  • Understand and leverage robot dynamics models for stability and contact reasoning
  • Contribute to state estimation using IMU, joint encoders, and contact sensing

Simulation & Tooling
  • Build and maintain locomotion simulation environments (Mujoco / Isaac)
  • Design training environments and reward shaping strategies
  • Analyze the simulation-real gap and iterate on mitigation strategies

Real Robot Deployment
  • Deploy policies to hardware with torque-controlled, high-bandwidth actuators
  • Perform real-robot tuning, debugging, and performance optimization
  • Work closely with firmware, motor control, and hardware teams

Qualifications
Must Have
  • 3+ years of experience in robotics, control, or locomotion-related roles
  • Strong C++ and Python programming skills
  • Experience applying reinforcement learning to robotics control problems
  • Experience deploying algorithms on real robots (not simulation-only)
  • Solid understanding of rigid body dynamics and feedback control
  • Familiarity with state estimation for legged robots
  • Experience working in Linux environments

Nice to Have
  • Experience with humanoid or legged robots
  • Whole-Body Control or MPC exposure
  • Mujoco / Isaac Gym / Isaac Sim experience
  • Experience addressing sim-to-real transfer challenges
  • Familiarity with Pinocchio, CasADi, or similar tools
  • CUDA or large-scale RL training experience
  • ROS2 experience

Work Mode
  • On-site required
  • Up to 10% of travel

Why Join Us
  • Work on full-body locomotion for humanoid robots
  • Solve real-world robustness problems, not toy simulations
  • Collaborate closely with hardware and actuator teams
  • Contribute to the 0→1 humanoid platform development
  • High ownership, fast iteration, engineering-driven culture

Candidates must be legally authorized to work in the United States, and verification of employment authorization will be required at the time of hire.
SERES is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

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