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Senior Language Localization Jobs in California (NOW HIRING)

Senior Applied Scientist

San Francisco, CA · On-site

$107K - $147K/yr

This is a rare opportunity to work at the intersection of deep learning, large language models, and ... SLAM, localization, or mapping systems - • Experience with large-scale data pipelines and ...

Define and own the visual identity and design language across our customer interactive experience ... Our Field Foundational Models™ raise the bar for perception, planning, localization, and ...

Sr. Applied Scientist, Fauna Robotics

Sunnyvale, CA · On-site

$107K - $146K/yr

... language PREFERRED QUALIFICATIONS - Hands-on experience with modern solutions in the field of Localization, Mapping, and reconstruction such as Gaussian Splatting, Foundation Models (e.g. VGGT), etc ...

Senior Product Designer

Irvine, CA · On-site

$125K - $185K/yr

Define and own the visual identity and design language across our customer interactive experience ... Our Field Foundational Models™ raise the bar for perception, planning, localization, and ...

Define and own the visual identity and design language across our customer interactive experience ... Our Field Foundational Models raise the bar for perception, planning, localization, and ...

Sr Software Engineer

Glendale, CA

$129K - $171K/yr

... media localization, network transmission and origination, and more. The global team also plays a ... Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript)

Sr Software Engineer

Glendale, CA

$129K - $171K/yr

... media localization, network transmission and origination, and more. The global team also plays a ... Proficiency in at least one core programming language (e.g., Java, Python, or JavaScript)

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Senior Language Localization information

What is the difference between Senior Language Localization vs Language Localization Specialist?

AspectSenior Language LocalizationLanguage Localization Specialist
CredentialsBachelor's degree in translation, linguistics, or related field; extensive experienceBachelor's degree; entry to mid-level experience
Work EnvironmentLeading localization projects, mentoring teams, strategic planningExecuting localization tasks, translating, editing content
Employer & Industry UsageTech companies, gaming, software developmentMultinational corporations, media, e-commerce

Senior Language Localization professionals typically oversee projects, provide strategic guidance, and mentor teams, requiring more experience and credentials. Language Localization Specialists focus on executing translation and localization tasks. Both roles are essential in the localization process but differ in scope and responsibility.

What are the most commonly searched types of Language Localization jobs in California? The most popular types of Language Localization jobs in California are:
What job categories do people searching Senior Language Localization jobs in California look for? The top searched job categories for Senior Language Localization jobs in California are:
What cities in California are hiring for Senior Language Localization jobs? Cities in California with the most Senior Language Localization job openings:
Senior Learning Perception Engineer - SLAM

Senior Learning Perception Engineer - SLAM

Apptronik

Sunnyvale, CA • On-site

Full-time

Posted 18 days ago


Job description

Job Summary:
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Senior Learning Perception Engineer will drive research and development of advanced perception systems for humanoid robots, focusing on SLAM and multi-sensor fusion to enable robust autonomy in complex environments.
Responsibilities:
• Lead the design, development, and optimization of perception and SLAM pipelines for humanoid robots, including visual-inertial odometry, mapping, localization, object detection, tracking, segmentation, pose estimation, and scene understanding.
• Develop multi-sensor fusion frameworks integrating cameras, LiDAR, depth sensors, and IMUs for robust real-time state estimation and mapping in dynamic, human-centered environments.
• Contribute to scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
• Drive research and deployment of learning-based models for SLAM, 3D scene understanding, and perception optimized for humanoid locomotion, manipulation, and human-robot interaction.
• Implement performance profiling, regression testing, and telemetry systems to ensure perception and SLAM modules meet strict latency, accuracy, and reliability requirements on edge devices.
• Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.
• Guide the integration of synthetic data (e.g., IsaacSim) with real-world datasets to enhance model generalization and robustness.
• Contribute to best practices in code quality, model versioning, reproducibility, and deployment.
Qualifications:
Required:
• MS/PhD in Computer Science, Robotics, Computer Engineering, or related field.
• 3–5+ years building and shipping perception and/or SLAM systems in robotics or real-time vision applications.
• Strong background in SLAM, VIO, probabilistic state estimation, and deep learning for computer vision.
• Practical expertise in detection, segmentation, multi-object tracking, 3D perception, and learning-based mapping/localization.
• Hands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and CV / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo).
• Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
• Deep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, factor graphs, SLAM, VIO).
• Experience deploying optimized perception or SLAM models on edge hardware (GPU/NPU/embedded) under compute, latency, and thermal constraints.
• Track record of shipping ML/Perception or SLAM systems from R&D into production robotics platforms.
Preferred:
• Experience with humanoid robots, bipedal locomotion, and manipulation tasks.
• Experience with modern SLAM frameworks (e.g., ORB-SLAM, VINS, Rtabmap, GTSLAM, Cartographer) or learning-based SLAM systems.
• Strong classical computer vision skills (geometry-based methods, feature extraction) complementing learning-based approaches.
• Expertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).
• Familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.
• Knowledge of synthetic data generation and domain adaptation techniques for training perception and SLAM models.
• Contributions to open-source robotics or vision software stacks.
Company:
Apptronik is a robotics company that designs and builds humanoid robots for various real-world applications. Founded in 2016, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.