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Entry Level Autonomous Systems Engineer Jobs in San Ramon, CA

Figure

Helix AI Engineer, Agentic Systems

San Jose, CA · On-site

$150K - $350K/yr

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal ... We are looking for a Helix AI Engineer, Agentic Systems experienced in building multimodal ...

Skydio, Inc

Autonomy Engineer - Deep Learning

San Mateo, CA · On-site

$170K - $277K/yr

As a Deep Learning Engineer, you will be responsible for training and deploying optimized models to ... Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems * Be a ...

Apptronik

Senior Autonomy Software Engineer

Sunnyvale, CA · On-site

$190K - $235K/yr

Design and implement mission-level autonomy systems for humanoid robots, focusing on learning-based ... Mentor junior engineers and provide technical leadership within the autonomy organization. SKILLS ...

Apptronik

Senior Autonomy Software Engineer

Sunnyvale, CA · On-site

$190K - $235K/yr

Design and implement mission-level autonomy systems for humanoid robots, focusing on learning-based ... Mentor junior engineers and provide technical leadership within the autonomy organization. SKILLS ...

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All JobsEntry Level Autonomous Systems Engineer JobsEntry Level Autonomous Systems Engineer Jobs in San Ramon, CA

Entry Level Autonomous Systems Engineer information

See San Ramon, CA salary details

$59.8K

$142.2K

$186.6K

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

As of Jul 4, 2026, the average yearly pay for entry level autonomous systems engineer in San Ramon, CA is $142,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $175,400.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Autonomous Systems Engineer vs Autonomous Vehicle Software Engineer?

AspectEntry Level Autonomous Systems EngineerAutonomous Vehicle Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or Electrical EngineeringBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, tech companies, automotive industryAutomotive companies, tech firms, startups focused on autonomous vehicles
Employer & Industry UsageDeveloping autonomous systems for various applicationsDesigning software specifically for autonomous vehicle navigation and control

While both roles involve working with autonomous systems, the Entry Level Autonomous Systems Engineer focuses broadly on developing autonomous technologies across industries, whereas the Autonomous Vehicle Software Engineer specializes in software development for self-driving cars. The former may work on sensors, algorithms, and system integration, while the latter concentrates on vehicle-specific software solutions.

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

To thrive as an Entry Level Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB, and version control systems (e.g., Git) is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and innovate within multidisciplinary teams. These skills and qualities are crucial for building reliable autonomous systems and adapting to rapidly evolving technologies.

What is an Entry Level Autonomous Systems Engineer?

An Entry Level Autonomous Systems Engineer is a professional who designs, develops, tests, and implements technologies that enable machines or systems to operate independently with minimal human intervention. These engineers often work on robotics, self-driving vehicles, drones, or industrial automation. As entry-level professionals, they typically assist senior engineers in building algorithms, integrating sensors, and troubleshooting hardware or software issues. They use skills in programming, systems engineering, and data analysis to help create and improve autonomous systems. This role is ideal for recent graduates or those with limited experience looking to start a career in robotics and automation.

What types of projects and technologies do Entry Level Autonomous Systems Engineers typically work on, and how is their work structured within a team?

As an Entry Level Autonomous Systems Engineer, you'll often contribute to projects involving robotics, self-driving vehicles, or drone technologies. Your daily work may include developing and testing algorithms for perception, localization, and control, often using tools like Python, ROS, and machine learning frameworks. You will typically collaborate closely with senior engineers, software developers, and hardware teams through agile sprints, code reviews, and regular team meetings. The environment is highly collaborative and problem-solving oriented, offering abundant opportunities to learn from experienced colleagues and participate in multidisciplinary projects that can lead to rapid professional growth.
What job categories do people searching Entry Level Autonomous Systems Engineer jobs in San Ramon, CA look for? The top searched job categories for Entry Level Autonomous Systems Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Entry Level Autonomous Systems Engineer jobs? Cities near San Ramon, CA with the most Entry Level Autonomous Systems Engineer job openings:
Entry Level Autonomous Systems Engineer jobs near you
Helix AI Engineer, Agentic Systems

Helix AI Engineer, Agentic Systems

Figure

San Jose, CA • On-site

$150K - $350K/yr

Full-time

Posted 3 days ago

Job description

Figure AI is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
Our goal is to create embodied AI systems that can perceive the world through pixels, reason over memory, and reliably execute complex tasks over minutes to hours in real environments. We are looking for a Helix AI Engineer, Agentic Systems experienced in building multimodal reasoning systems-agents that operate autonomously from raw sensory input, maintain episodic memory, plan over long horizons, and execute reliably within structured evaluation harnesses, e.g. pixels-to-actions computer use agents. This role focuses on developing the agent architectures and infrastructure that enable robots to function as persistent, reliable embodied agents in the real world.
Responsibilities
  • Design, train, and deploy multimodal agents that operate autonomously for hours to days
  • Build agents that reason from raw sensory inputs (pixels, environment state, proprioception) to structured actions
  • Implement episodic memory systems for persistent state, retrieval, and long-horizon reasoning
  • Develop planning, reasoning, and tool-use mechanisms for multi-step task execution
  • Build reliable perception → reasoning → action loops with strong stability and failure recovery
  • Design evaluation harnesses, benchmarks, and metrics to measure agent reasoning, planning, and reliability
  • Design and run data studies across the training lifecycle, including pretraining, mid-training, and post-training
  • Apply reinforcement learning, reward modeling, and post-training techniques to improve agent reasoning and reliability in real-world environments
  • Develop evaluation frameworks and benchmarks to measure robot reasoning, planning, and task success across diverse scenarios
  • Build infrastructure for scalable model training, distributed experimentation, and agent evaluation
  • Work closely with other teams to integrate agent models into the full humanoid autonomy stack
Requirements
  • Experience building autonomous agents that run continuously and complete multi-step tasks
  • Experience developing agents that reason from pixel inputs or raw environment observations
  • Experience implementing agent memory, planning, reasoning, or tool-use systems
  • Experience training or fine-tuning multimodal or foundation models
  • Strong proficiency in Python and modern deep learning frameworks (e.g., PyTorch)
  • Strong experimental rigor and ability to design, analyze, and iterate on ML systems
  • Strong software engineering skills and ability to build reliable, maintainable systems
  • Ability to work independently and own complex technical problems end-to-end
Bonus Qualifications
  • Experience with embodied AI, robotics learning, or robot policy training
  • Experience building multimodal foundation models (vision-language or vision-language-action)
  • Background in agentic AI systems or long-horizon planning architectures
  • Experience working with large-scale distributed training systems
  • Publication record in machine learning, robotics, or embodied AI
  • Passion for building autonomous humanoid robots that operate in the real world

The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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