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Prediction and Planning Algorithm Engineer
Accelerate autonomous vehicle deployment with AI-first mobility solutions featuring highway assist, urban driving, and automated valet parking for OEMs.
Experience Requirements:
Experience in trajectory prediction-related algorithms (such as Graph Neural Network, Transformer, Deep Reinforcement Learning, etc.) is preferred.
Other Requirements:
Possess good programming skills, proficient in C++/Python, and familiar with the Linux development environment.
Have good ability to read and understand English literature, strong learning ability and a strong desire for knowledge.
Have good sense of teamwork, communication skills, coordination ability and summary ability.
Able to work under pressure.
Responsibilities:
Design, develop, debug and conduct real-vehicle verification of autonomous driving prediction or planning algorithms based on learning methods.
Design evaluation schemes and conduct tests for prediction or planning algorithms.
Work closely with the perception module to complete the development and debugging of the system.
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Road Environment Model Engineer
Accelerate autonomous vehicle deployment with AI-first mobility solutions featuring highway assist, urban driving, and automated valet parking for OEMs.
Education Requirements:
Major in computer science, automation, mathematics, automotive engineering or other related fields.
Experience Requirements:
Experience in optimal matching of lanes, traffic lights, etc.
Experience with multi-frame smoothing and optimization algorithms for reference lines.
Knowledge background in NN models for local map road topology generation such as MapTr is a plus.
Other Requirements:
Foundation in computational graphics and 3D set element processing.
Familiar with optimal road network matching algorithms (KM, VF2, PDA).
Proficient in C++.
Familiar with various optimization algorithms and algorithm libraries (Eigen, OSQP).
Able to model and reason about complex environments.
Responsibilities:
Generate and track reference lines and lane topologies based on lane line perception, semantic maps, and traffic flow clustering.
Understand and infer the regulatory boundaries of the road environment and realize drivable area reasoning.
Design and develop a matching and fusion framework based on real-time perception and prior semantic maps.
Identify occluded areas and calculate risk speed limits.
Perform fusion matching and recognition of lane types, and matching between traffic lights and lanes.
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Mapping Algorithm Engineer
Accelerate autonomous vehicle deployment with AI-first mobility solutions featuring highway assist, urban driving, and automated valet parking for OEMs.
Experience Requirements:
Experience in vehicle-side mapping, online map post-processing, or crowdsourced mapping is preferred.
Familiarity with automotive sensors (cameras, radar, GNSS, IMU, wheel speed sensors).
Other Requirements:
Familiar with semantic SLAM frameworks, online mapping algorithms, and backend optimization.
Knowledge of ICP, particle filtering, nonlinear optimization, Kalman filters, or multi-sensor fusion.
Proficient in C++.
Scripting skills for rapid prototyping.
Strong problem-solving, communication, and teamwork skills.
Responsibilities:
Track and maintain geometric and semantic information for local static objects in mass-production projects.
Ensure absolute and relative accuracy of maps under diverse driving conditions.
Design, implement, and maintain vehicle-side memory mapping algorithms.
Achieve semantic localization using prior maps.
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Generative Model Algorithm Engineer
Accelerate autonomous vehicle deployment with AI-first mobility solutions featuring highway assist, urban driving, and automated valet parking for OEMs.
Education Requirements:
Master’s degree or higher (Ph.D. preferred) in AI, computer science, automation, mathematics, or related fields.
Experience Requirements:
Knowledge of Diffusion Models, NeRF, 3D Gaussian Splatting is preferred.
Publications in top conferences are a plus.
ACM competition experience is a plus.
Other Requirements:
Strong foundation in data structures and algorithms.
Proficient in Python/C++ and frameworks like PyTorch/TensorFlow.
Excellent English and mathematical skills.
Strong coding ability.
Responsibilities:
Research generative models in autonomous driving, publish top-tier papers, and file patents.
Promote the application of generative models in autonomous driving.
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Process Engineer
Accelerate battery material discovery from years to minutes using a massive 512-dimensional molecular map and agentic AI for electrolyte and electrode design.
Education Requirements:
Bachelor’s degree, major in mechatronics, electronics, electrical, process design
Experience Requirements:
At least 2 years working experience in PACK assembly or lithium battery industry
Other Requirements:
Familiar with IATF16949 quality management system
Proficient in Office, AUTOCAD and other software
Good at analyzing and solving problems
Good communication and coordination skills
Have a certain ability to work under pressure, have a strong sense of team spirit and cooperation
Responsibilities:
Responsible for process support, process verification and optimization and promotion of process problems in the design and development phase of PACK project
Responsible for preparing product process documents (PFMEA, process flow chart, control plan, WI, etc.)
Provided technical support for production, formulated standard operation instructions for each process
Solved technical problems in the production process
In-depth technical exchanges on the production site, providing guidance for key parts and processes
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Backend Engineer
Transform text and images into production-ready 3D models in minutes with AI-powered texturing, rigging, and animation for game development and 3D printing.
Benefits:
Brain (intellectual pursuit)
Heart (empathy and passion)
Gut (innovation and risk-taking)
Taste (quality and aesthetics)
Experience Requirements:
3+ years of backend development experience
Experience with SQL databases (MySQL, PostgreSQL, etc.)
Expertise in Golang, TypeScript, Python, or Java
Experience with distributed systems, REST APIs, and microservices
Proficient in common data structures and algorithms
Other Requirements:
Excellent written and verbal communication skills
Quick learner for new technologies
Responsibilities:
Collaborate with cross-functional teams for feature delivery
Conduct detailed design, coding, and unit testing
Participate in code reviews and share best practices
Develop and maintain distributed programs on Kubernetes
Support and debug production issues via on-call rotations
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Recommendation System Engineer
Transform text and images into production-ready 3D models in minutes with AI-powered texturing, rigging, and animation for game development and 3D printing.
Benefits:
Brain (intellectual pursuit)
Heart (empathy)
Gut (courage)
Taste (beauty)
Experience Requirements:
3+ years of professional experience in machine learning or recommendations
Strong coding skills in Python, Java, or Scala
Understanding of ranking, collaborative filtering, and personalization
Experience with data processing frameworks (Spark, Flink)
Other Requirements:
Strong problem-solving and communication skills
Responsibilities:
Design and optimize recommendation and ranking algorithms
Analyze user behavior data to improve personalization
Evaluate and experiment with new ML methods
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DFT Intern - 2026
NVIDIA AI for Healthcare & Life Sciences is a comprehensive suite of AI platforms and solutions accelerating discovery, improving care, and driving innovation.
Education Requirements:
MS/PhD in EE
Experience Requirements:
Strong logic design and verification background
Possess very basic knowledge of DFT
Skilled in Perl/tcl programming
Proficient at Verilog HDL
Prefer to have experience with logic simulators and debug tools (such as vcs, ncsim, verdi)
Other Requirements:
Familiar with C/C , Makefile is a plus
Strong problem solving and analytical skills
Excellent communication skills and teamwork
Responsibilities:
DFT logic implementation and verification
Maintain DFT flow and run regression
Run DFT verification
Pattern generation and bringup
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Sales ADEN Smart Energy for Buildings Partner & Solution Manager
Accenta provides AI-powered geothermal and Smart GTB solutions for building decarbonization, reducing energy consumption and emissions.
Education Requirements:
Master degree or PhD degree in thermal
Experience Requirements:
Experience in HVAC, Thermal storage and Automation and control systems
Experience in SaaS and Algorithms using Artifical intelligence
Experience in Project managament from presales to implementation
Responsibilities:
sourcing of new local (China) opportunities
assessment studies and HVAC solution engineering
business planning and target group of key customers
customer lifecycle from discovery, presales to implementation and monitoring
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