Education Requirements:

• You are graduating with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong C++/ C or Python programming and software design skills, including debugging, performance analysis, and test design.

• Strong expertise on deep learning quantization

• Strong expertise on NN compiler (TVM, MLIR, GLOW, LLVM) experience

• Strong expertise on NN model pruning

• Strong expertise on Cadence DSP programming

Other Requirements:

• Numerical methods experience

• Knowledge of computer architecture

• Python experience

• Experience with Deep Learning Frameworks such as TensorFlow, PyTorch, and MXNet

Responsibilities:

• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

Education Requirements:

• Graduate with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

Experience Requirements:

• Strong Python or C++/C programming and software design skills, including debugging, performance analysis, and test design.

• Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, and MXNet

• Experience with model acceleration techniques such as deep learning quantization, model pruning, and model distillation.

Other Requirements:

• Experience with numerical methods

• Knowledge of computer architecture

• Experience with AI compilers

• Experience in model deployment within the autonomous driving industry

• Experience deploying LLMs on edge devices

Responsibilities:

• Contribute to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.

• Writing software to deploy AI models and pipelines in real time applications (inference).

• Apply low precision inference, quantization, and compression of DNNs.

• Continuously improve inference latency, accuracy and power consumption of DNNs.

• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas

Education Requirements:

• Master’s degree in Electrical and Computer Engineering, Computer Science, or related field.

Experience Requirements:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

Other Requirements:

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

• Conduct R&D, stay updated with the latest research, and propose innovative ideas.

• Contribute to patent applications and publish research papers.

Responsibilities:

• Develop deep learning-based perception algorithms, including object detection, lane detection, semantic segmentation, depth estimation, curb detection, etc.

• Design and evaluate cutting-edge network structures and data training methods for vision tasks.

• Implement network compression and quantization-aware data training to optimize models for ASIC hardware deployment.

• Conduct prototype development, regression testing, benchmark testing, and performance evaluation.

• Prepare demos to showcase model performance and deploy solutions on embedded platforms.

Benefits:

• Competitive base salary + bonus + equity

• Healthcare, vision, dental

• 401k match

• Gym/wellness reimbursement

• Education reimbursement

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related technical field

Experience Requirements:

• 1+ years of experience as a Smart Contract Engineer

• Excellent understanding of blockchain technology and Ethereum

Other Requirements:

• Strong analytical skills

• Ability to work independently and as part of a diverse team

Responsibilities:

• Develop and deploy robust, secure smart contracts on Ethereum

• Analyze and determine the functionality of smart contracts

• Identify vulnerabilities and potential security faults

• Collaborate with the cybersecurity team to enhance analysis tools

• Stay updated with latest developments in blockchain technology

Benefits:

• Competitive base salary + bonus + equity

• Healthcare, vision, dental

• 401k match

• Gym/wellness reimbursement

• Education reimbursement

Experience Requirements:

• Proven SaaS sales experience

• Strong understanding of cybersecurity and blockchain industries

Other Requirements:

• Ability to work independently and in a fast-paced environment

• Knowledge of blockchain technology, smart contracts, and DeFi

Responsibilities:

• Identify and develop new business opportunities in financial institutions sector

• Manage the entire sales cycle from prospecting to closing deals

• Build and maintain strong, long-lasting customer relationships

• Understand customer needs and requirements to align products

• Negotiate contracts and close agreements to maximize profits

Benefits:

• Direct mentorship from Head of Partnership

• Exposure to AML + crypto compliance space

• Stipend

• Performance bonus for hitting traffic goals

Education Requirements:

• Coursework or project experience in digital marketing, analytics, or data science

Experience Requirements:

• Data-driven mindset

• Strong written communication

Other Requirements:

• Comfort with basic HTML/CSS

• Bonus for HubSpot or Webflow familiarity

Responsibilities:

• Own keyword research & on-page SEO for Agentic AML SaaS Products

• Draft & A/B-test blog headlines, LinkedIn posts, and landing-page copy

• Track organic + paid metrics in GA4, Mixpanel, Search Console

• Coordinate with design contractor for creative assets

• Present a growth snapshot deck to the exec team every month

Benefits:

• Hands-on training in SaaS sales methodologies

• Commission kicker for every qualified opportunity

• Base hourly rate + commission

Experience Requirements:

• Curiosity about fintech/crypto compliance

• Excellent written & verbal communication

• Comfort with Excel/Sheets

Other Requirements:

• Not afraid of cold outreach

• Self-starter who hits weekly activity targets

Responsibilities:

• Research target lists in Apollo/ZoomInfo

• Craft personalized email cadences & LinkedIn DMs

• Qualify inbound leads and schedule demos for AE team

• Log activities & notes in HubSpot

• Shadow live demos and learn discovery frameworks

Benefits:

• Paid hourly

• AnChain swag

• Mentorship from senior engineers

• Portfolio building

Experience Requirements:

• Solid coding skills and comfort with REST APIs, Git/GitHub

• Prior open-source contributions or active GitHub portfolio

Other Requirements:

• Clear written and spoken English

• Self-starter mindset with reliable follow-through

Responsibilities:

• Create demo videos and walkthroughs for engineers

• Publish clips on X, LinkedIn, YouTube, and tracking feedback

• Answer developer questions on GitHub, Discord, and forums

• Host AMAs, live coding sessions, and tech-demo webinars

• Write simple quick-starts, how-tos, and sample apps in Python, TypeScript, or Go

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

• Annual performance bonus and equity

Education Requirements:

• Pursuing a degree in Computer Science, Robotics, or a related field

• Expected graduation date between December 2025 and June 2026

Experience Requirements:

• Strong programming experience in C++ or Python

• Experience in machine learning, robotics, computer vision, data mining, or LiDAR

• Knowledgeable in data structures, 3D geometry, and advanced algorithms

Other Requirements:

• Solid foundation in core robotics principles (state estimation, 3D reconstruction)

• Excellent software and computing fundamentals

Responsibilities:

• Develop and deploy perception and deep learning models (CV, VLM, LLM)

• Create and optimize data pipelines for data mining and training

• Conduct research in perception algorithms for object detection and road understanding

• Leverage multi-modal sensor fusion techniques for robust architectures

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

Experience Requirements:

• 3+ years of accounting experience

• Extensive knowledge of US GAAP

Other Requirements:

• Mandarin preferred

• Ability to effectively work cross-functionally

• Can sponsor various visa types

Responsibilities:

• Manage Account Payable and ensure timely bill payments

• Record financial transactions in accordance with US GAAP

• Assist in monthly and annual closings and post journal entries

• Assist in preparation of financial statements

• Assist in monthly financial data analysis and budget planning

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

• Annual performance bonus and equity

Education Requirements:

• MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, or related field

• Expected graduation date between December 2025 and June 2026

Experience Requirements:

• Proficient in C++ and/or Python

• Strong analytical and problem-solving skills

Other Requirements:

• Excellent communication skills

• Passion for innovation in the autonomous vehicle industry

Responsibilities:

• Design models for behavior prediction and dynamic agent intentions

• Develop algorithms for vehicle localization and mapping

• Contribute to motion planning and decision-making modules

• Build simulation platforms with realistic sensor modeling

• Work on 3D environment reconstruction

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

• Annual performance bonus and equity

Education Requirements:

• Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, or related field

• Expected graduation date between December 2025 and June 2026

Experience Requirements:

• Proficient in C++ and/or Python, Java, Go

• Experience with good coding standards and test-driven development

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and cross-functional team collaboration abilities

• Passion for innovation

Responsibilities:

• Build real-time, in-vehicle systems for safe AV operation

• Develop high-performance data transport frameworks and logging infrastructure

• Develop real-time communication service frameworks between devices

• Develop cloud-based and backend systems supporting the AV fleet

• Optimize computational performance and create developer tools

Benefits:

• Premium Medical, Dental and Vision Plan

• Free Daily Breakfast, Lunch and Dinner

• Paid vacations and holidays

• 401K plan

Education Requirements:

• Bachelor's degree or higher in Computer Science, Physics, Software Engineering, Mathematics, or related field

Experience Requirements:

• Proficient in C++

• Familiar with common data structures and algorithms

• Experience with development in a Linux/Unix environment

• Proficient in big data processing and analysis (SQL and Python)

Other Requirements:

• Excellent communication and teamwork skills

• Self-motivated and able to perform well under pressure

• Analytical thinker

• Passion for the autonomous vehicle industry

Responsibilities:

• Create algorithms to evaluate safety, comfort, and performance of AV systems

• Design data pipelines and metric systems to quantify system capabilities

• Aggregate and analyze test data to identify system issues

• Responsible for data visualization and report automation

• Extract high-value traffic scenarios from massive test data

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, Robotics or related field

• Expected graduation date before December 2027

Experience Requirements:

• Proficient in C++ and/or Python, Java, Go

• Good programming practices and test-driven development experience

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication skills

• Passion for autonomous vehicle industry

• Available to work in the office five days a week

Responsibilities:

• Build real-time, in-vehicle systems for safe AV operation

• Design and develop new features to optimize computational performance

• Optimize for efficient model deployment and enhance machine learning workflow

• Develop high-performance GPU/CPU kernels

• Work with multiple algorithm teams to optimize algorithms

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• Currently pursuing a PhD degree in Robotics, Computer Science, Machine Learning, or related field

• Expected graduation date before the end of 2027

Experience Requirements:

• Proficient in C++ and/or Python

• Strong understanding of machine learning approaches and algorithms

• Experience with NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and cross-functional team collaboration abilities

• Passion for innovation in the autonomous vehicle industry

• Available to work in the office five days a week

Responsibilities:

• Develop innovative machine learning solutions for autonomous driving

• Implement and optimize models for deployment across WeRide vehicles

• Analyze simulation and real-world road test data to identify issues

• Collaborate with cross-functional teams for model integration

Benefits:

• 1-on-1 mentorship

• Hands-on training

• Team-building activities

• Interactive workshops

Education Requirements:

• BS/MS degree in Mechanical, Electrical, Automotive, or Computer Engineering

Experience Requirements:

• Proficient in Embedded C, C++

• Understanding of CAN/LIN/Ethernet communication protocols

• Knowledge of brake/steering/propulsion actuators of electric vehicles

• Experience with CAN tools like CANalyzer/CANoe

Other Requirements:

• Strong root-cause analysis skills

• Excellent communication abilities

• Passion for innovation

Responsibilities:

• Develop drive-by-wire functions and software with redundancy

• Perform electrical and software integration on AV platforms

• Ensure reliable operation of drive-by-wire actuators

• Troubleshoot and provide diagnostic support for field issues

Benefits:

• Mentorship and individual guidance

• A well-rounded training portfolio

• Regular in-house training

• Competitive salary

• Generous study leave and in-house study support

Education Requirements:

• Postgraduate Diploma in Accounting Science

• National Senior Certificate

• Mathematics Core and Accounting subjects in Matric

Experience Requirements:

• Previous work experience (vacation/temporary/volunteer)

Other Requirements:

• South African citizen

• Average results of 65% in Bachelor of Accounting Science degree

• Must have passed all exams on the first attempt

Responsibilities:

• Enrolling for the CA Trainee Programme 2026

• Formal training in auditing

• Formal training in accounting

• Formal training in taxation

Experience Requirements:

• Excellent physical coordination, spatial awareness, and focus

• Stay on your feet for 8+ hours a day

• Master new physical tasks quickly

• Embrace constructive feedback

• Thrive in a fast paced environment

Other Requirements:

• Shift: 2:00 PM – 10:30 PM (Monday to Friday)

• Open to traveling to different locations around the Bay Area for offsite work

Responsibilities:

• Wear sensor equipment to guide the robot through human-like motions

• Collect high-quality motion data used to train AI models

• Flag any issues or bugs during collection and share daily feedback

• Follow proper equipment and robot maintenance procedures

• Maintain a safe and organized workspace during all operations

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field

Experience Requirements:

• Strong software engineering fundamentals

• Experience with Python and PyTorch

• Experience managing HPC clusters for deep neural network training

• Minimum of 4 years of professional, full-time experience building reliable backend systems

Other Requirements:

• Experience managing cloud infrastructure (AWS, Azure, GCP)

• Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)

• Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)

Responsibilities:

• Design, deploy, and maintain Figure's training clusters

• Architect and maintain scalable deep learning frameworks for training on massive robot datasets

• Work together with AI researchers to implement training of new model architectures at a large scale

• Implement distributed training and parallelization strategies to reduce model development cycles

• Implement tooling for data processing, model experimentation, and continuous integration

Experience Requirements:

• Strong attention to detail and the ability to apply consistent logic across diverse scenarios

• Comfortable navigating computer-based tools and quickly learning new software

• Patient, quality-focused mindset with the ability to juggle multiple assignments

• Clear written and verbal communication skills

• Reliable, self-motivated work style and a collaborative spirit

Other Requirements:

• Fluency in English required

• Require 5 days/week in-office collaboration

Responsibilities:

• Use proprietary annotation tools to label objects, poses, and interactions

• Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency

• Identify and flag ambiguous or edge-case scenarios for review by the ML team

• Maintain high throughput and consistent quality across large annotation batches

• Contribute feedback on workflow improvements and tool enhancements