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Sima Jobs in California (NOW HIRING)

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

Solutions Engineer

San Francisco, CA · On-site

$100 - $140/hr

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

Senior Recruiter

San Francisco, CA · On-site

$163 - $178/hr

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

... Sima (ex‑Head of Biz Dev at Plaid), Henrique + Pedro (co‑CEOs at Brex), Jeff + Wayne (co‑CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more.

Background at NPU/edge-AI IP and silicon companies (e.g., Qualcomm SNPE/QNN, NVIDIA TensorRT/Jetson field engineering, Ceva, Cadence Tensilica, Synopsys ARC, Arm, Hailo, Ambarella, SiMa.ai, Axelera ...

Senior Recruiter

San Francisco, CA · On-site

$163K - $178K/yr

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

Background at NPU/edge-AI IP and silicon companies (e.g., Qualcomm SNPE/QNN, NVIDIA TensorRT/Jetson field engineering, Ceva, Cadence Tensilica, Synopsys ARC, Arm, Hailo, Ambarella, SiMa.ai, Axelera ...

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

Solutions Engineer

San Francisco, CA · On-site

$180K - $190K/yr

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

... Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About ...

Background at NPU/edge-AI IP and silicon companies (e.g., Qualcomm SNPE/QNN, NVIDIA TensorRT/Jetson field engineering, Ceva, Cadence Tensilica, Synopsys ARC, Arm, Hailo, Ambarella, SiMa.ai, Axelera ...

Showing results 41-60

Sima information

See California salary details

$14

$56

$149

How much do sima jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for sima in California is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $60.48 per hour, depending on experience, location, and employer.

What is a Sima?

The term 'Sima' does not refer to a widely recognized job title in the professional world. It is possible that 'Sima' refers to a company name, a software, or an acronym in a specific industry, but there is no standard job description or set of responsibilities associated with this title. If you are seeking information about a particular Sima role, please provide more context or verify the spelling. For general job titles, Sima is not commonly listed among recognized professions.

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

I'm sorry, but 'Sima' is not a recognized real-world professional occupation. Please provide a valid job title for an accurate response.

What is the difference between Sima vs Data Analyst?

AspectSimaData Analyst
Required CredentialsTypically requires a certification in Sima or related software, with some roles requiring a degree in engineering or related fieldsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentPrimarily in manufacturing, engineering, or industrial settings, focusing on process optimizationIn office or remote, working with data sets, reports, and visualization tools
Employer & Industry UsageUsed in manufacturing, engineering, and industrial sectors for process improvementUsed across finance, healthcare, marketing, and technology industries for data-driven decision making

While both Sima and Data Analyst roles involve working with data, Sima is more specialized in industrial and manufacturing contexts, focusing on process simulation and optimization. Data Analysts have a broader application across various industries, emphasizing data interpretation and reporting. The choice depends on your industry and career focus.

What are the most commonly searched types of Sima jobs in California?

The most popular types of Sima jobs in California are:

Infographic showing various Sima job openings in California as of August 2026, with employment types broken down into 2% Internship, 94% Full Time, and 4% Part Time. Highlights an 95% Physical, and 5% Hybrid job distribution, with an average salary of $118,099 per year, or $56.8 per hour.

MTS - Robotics and Physical AI (AI2523)

SiMa Technologies

San Jose, CA

$176K - $281K/yr

Full-time

Re-posted 20 days ago


Job description

Job Title: MTS – Robotics and Physical AI         

 Job Location: San Jose, CA (This position requires a full-time, on-site presence in our San Jose, CA office)     

Job ID: AI2523    

Job Description:   

We are seeking an exceptional Member of Technical Staff to join our Robotics and Physical AI team. This role will focus on building vision-based perception, localization, and navigation systems for autonomous mobile robots, drones, and future robotic platforms.  

The ideal candidate has deep hands-on experience in computer vision, visual-inertial odometry, visual SLAM, and autonomous navigation. They should be comfortable working across traditional geometric vision methods and modern deep-learning-based approaches, with experience deploying these systems on embedded or edge-compute platforms.  

This is a senior individual-contributor role with opportunities to lead technical direction, mentor engineers, and influence the long-term development of our robotics and Physical AI solutions.  

Key Responsibilities:  

  • Architect and develop vision-based perception, localization, mapping, and navigation systems for AMRs, drones, and other robotic platforms.
  • Develop and integrate visual odometry, visual-inertial odometry, visual SLAM, sensor fusion, and 3D scene-understanding pipelines.
  • Apply both traditional computer vision and deep-learning techniques for feature extraction, object detection, segmentation, depth estimation, tracking, and obstacle understanding.
  • Optimize and deploy computer vision and AI workloads on embedded and edge-compute platforms.
  • Collaborate with robotics, hardware, AI, and systems teams to validate solutions in simulation, hardware-in-the-loop environments, and real-world deployments.
  • Provide technical leadership, mentor engineers, and contribute to the long-term vision for robotics and Physical AI.  

Required Qualifications:  

  • Master’s or Ph.D. in Robotics, Computer Vision, Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 8+ years of experience developing perception, localization, or navigation systems for autonomous robots.
  • Strong proficiency in C++, Python, and ROS or ROS 2.
  • Deep experience with visual odometry, visual-inertial odometry, visual SLAM, multi-view geometry, camera calibration, and sensor fusion.
  • Strong foundation in traditional computer vision, including feature detection and matching, optical flow, epipolar geometry, pose estimation, triangulation, and bundle adjustment.
  • Experience with deep-learning-based computer vision, including object detection, semantic or instance segmentation, depth estimation, tracking, or scene understanding.
  • Hands-on experience with frameworks such as OpenCV, PyTorch, TensorFlow, or equivalent tools.
  • Experience deploying vision and AI workloads on embedded Linux or edge-compute platforms.
  • Strong systems integration, debugging, performance optimization, and real-world deployment experience.  

Preferred Qualifications:  

  • Experience with one of drone navigation, AMRs, or other GPS-denied autonomous systems.
  • Experience with stereo vision, monocular depth, dense mapping, neural reconstruction, occupancy estimation, or BEV-based perception.
  • Familiarity with transformers, vision-language models, diffusion models, world models, or vision-language-action systems.
  • Experience with simulation and testing platforms such as Gazebo, Isaac Sim or others.
  • Demonstrated innovation through patents, publications, or deployed commercial systems. 

Personal attributes:       

Can-do attitude. Strong team player. Curious, creative and good at solving problems. Execution and results-oriented. Self-driven, Thinks Big and is highly accountable. Good communication skills. 

The annual salary for this position ranges from $176,200 - $281,900. The actual annual salary offered will depend on several factors, including - among others - job-related skills, experience, technical expertise, qualifications, work location, and business needs. The annual salary range for this position is subject to change and may be adjusted in the future. 

In addition to base salary, this role is also eligible for private company equity, and a comprehensive package of employee benefits. Please note that the salary ranges listed for U.S. roles reflect base salary only and do not include equity or other forms of compensation.     

EEO Employer: SiMa is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.