AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Staff System Integration Engineer, Electrical
Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.
Other Requirements:
Strong analytical, diagnostic and problem-solving skills
Strong drive to self-educate
Experience with oscilloscopes
Scripting, preferably Python
Responsibilities:
Quickly get up to speed on electrical, thermal, and mechanical aspects of the design
Study failure signatures of the systems and do hands-on troubleshooting
Pursue failure analysis down to silicon, PCB boards or external components
Analyze and document results and provide recommendations
Interface with internal groups (SoC, systems and mfg) as well as outside vendors
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Director of Mechanical Engineering
Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.
Education Requirements:
Advanced degree in Mechanical Engineering, Material Science, or related disciplines
Experience Requirements:
Approximately 10 years of experience in delivering complex mechanical systems, with a proven track record in leading technical teams
Other Requirements:
Strong understanding of advanced cooling solutions, including liquid cooling, with a solid background in thermal analysis
Expertise in DfX, particularly in the design of complex mechanical assemblies and systems
Experience with product development for Servers, Switches, Routers or Racks and Enclosure products for datacenter equipment
Experience with advanced electro-mechanical packaging technologies is a plus
Proficiency in multi-physics simulations and experimental verification methods for advanced pathfinding
Exceptional project ownership and delivery skills, with a demonstrated ability to manage and deliver complex, cross-functional projects
Excellent leadership, communication, and problem-solving skills, with the ability to work effectively in a fast-paced, dynamic environment
Responsibilities:
Lead and manage the mechanical engineering team, overseeing the development of all mechanical aspects of our products, including thermal and liquid-cooling solutions, mechanical enclosures, and complex assemblies
Own and drive cross-functional projects, coordinating with multiple disciplines to ensure successful project delivery and alignment with company goals
Develop and implement advanced cooling solutions, including liquid cooling, and provide expertise in thermal analysis to optimize product performance
Ensure that designs meet DfX (Design for Excellence) criteria, particularly in the development of complex mechanical assemblies and systems
Contribute to the advancement of electro-mechanical packaging technologies, providing technical leadership and direction
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Silicon Bring-up and Debug Engineer
Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.
Education Requirements:
BS or MS in EE, ECE, CS or equivalent work experience
Experience Requirements:
5+ years of industry experience
Other Requirements:
Solid experience in hardware bring-up and the debug of complex systems including ASICs, SoCs or microprocessors
Excellent debugging, analytical, and problem-solving skills
Understanding of computer architecture
Working knowledge of scripting in languages such as Python and/or Perl
Good understanding of DFT, ATPG, and design for debug techniques and their application in testing of silicon
Good interpersonal skills, ability & desire to work as a standout colleague
Proven track record of working cross-functionally and driving issues to closure
Responsibilities:
silicon testing, repair and burn in of Cerebras wafer scale engines
Utilize silicon redundancy to repair wafers based on defect signatures
Run repair algorithms and use strategies to optimize wafer performance and quality
Debug issues found in production, to enable volume ramp of system production
Root cause issues and recommend solutions
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Design Automation Engineer
Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.
Education Requirements:
BS or MS in Electrical Engineering, Computer Science or similar
Experience Requirements:
10+ years of flow development and or scripting for physical design
Other Requirements:
Expert at generating structured placement and routing
Expert at characterization automation
Expert in scripting languages like Tcl and Python. Ability to develop PD flows, tools and augmentation scripts
Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.
Good understanding of full chip floorplanning and integration.
Good knowledge of server infrastructure and experience with integrating AWS and internal compute resources
Demonstrated ability to work with RTL teams to optimize for physical design
Excellent analytical, and problem-solving skills
Good interpersonal skills and ability & desire to work as a standout colleague are a must.
Extremely self-motivated and eager to solve problems
Responsibilities:
Physical Design automation
projects involving scripted placement, routing, library cell characterization, and providing support for server infrastructure
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AI Silicon Circuit Simulation Engineer
Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.
Education Requirements:
BS or MS in Electrical Engineering or equivalent
Experience Requirements:
10+ years of circuit design and analysis experience
Other Requirements:
Strong knowledge of leading edge CMOS FinFet technology and transistor behavior
Expert at running circuit level simulations across a variety of design types
Expert with Hspice and Finesim type simulation tools
Good understanding of techniques for optimizing clock distribution
Good understanding of power supply distribution, IR drop problems and how to analyze them
Experience running aging simulations & knowledge of NBTI ,PBTI, HCI
Good understanding of IO circuits, ESD circuits and their analysis
Experience with analyzing power dissipation and making recommendations for optimizations
Strong ability in scripting languages like Tcl and Python
Demonstrated ability to work with cross functionally to resolve problems
Excellent analytical, and problem-solving skills
Strong interpersonal skills and a willingness to collaborate effectively are essential qualities for success in any team
Extremely self-motivated and eager to solve problems
Responsibilities:
circuit design tasks including clock design, power simulations, IO design, ESD, aging simulations, memory evaluations, datapath, and standard cell customizations
design and analyze custom circuits
circuit analysis of our wafer scale engine
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Staff Software Engineer, Core AI & Growth
Job board specializing in AI roles, featuring a range of positions from startups and established businesses.
Benefits:
Competitive salary and benefits package
Competitive stock options and performance-based bonuses
Comprehensive medical, dental, and vision plans
Professional development and growth opportunities
Global team offsites
Education Requirements:
Bachelor's degree or higher in Computer Science or a related field
Experience Requirements:
5-8 years of experience in software engineering
Fast learner and self-starter as a full-stack engineer
Strong product and business sense and can build product based on customers' needs
Good understanding of software engineering principles and best practices
A strong entrepreneurial or hacker spirit or experience in a rapidly growing startup
Other Requirements:
Able to work with senior engineers across the Asia time zone, including periodic evening meetings, and excited to work on-site with our teammates in our Sunnyvale office
Responsibilities:
hack and build our next generation smart AI editor that can self ingest, comprehend, do rough and fine cuts of videos based on a user's real-time feedback and taste of previous content
familiarizing our product and growth funnels
prototyping and crafting our next innovative product for prosumers and enterprise customers
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Account Executive - Sunnyvale, CA (HQ)
Coram AI is a cloud-based video security platform using AI for enhanced search, proactive alerts, and scalable management of security cameras.
Benefits:
Medical, Dental, and Vision insurance
401k (No matching)
Competitive Compensation Package (OTE Salary and Equity)
Experience Requirements:
At least 2-3 years of experience in B2B technical sales and a quota-carrying role
Excellent with pricing negotiation and showing the product value to the customer
Successful track record of net new accounts that are self-sourced
Hunter ability to creatively generate leads; SDR Experience Preferred
Proficient with ZoomInfo, Linkedin Sales Navigator, and HubSpot
Other Requirements:
Proven track record of above target performance
Ability to thrive in challenging and fast paced environments
Responsibilities:
Consistently achieve revenue targets and meet performance metrics
Identify opportunities for growth and generate leads through strategic prospecting
Full Cycle Sales: Prospect, Maintain, Develop and close net new accounts
Heavy outreach: cold call and email sequences target ICP accounts; write personalized sequences that convert and get demos
Become an expert on the Coram AI platform and independently give demos to prospects
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Senior C++ Engineer
Coram AI is a cloud-based video security platform using AI for enhanced search, proactive alerts, and scalable management of security cameras.
Benefits:
Medical, Dental, and Vision insurance
Company equity % in an early-stage startup
100% company-paid private Dental & Vision insurance
Experience Requirements:
3+ years of experience writing production software in C++ and Python of experience building applications processing real-time data and optimizing them for latency and memory.
Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code.
Experience with Docker, CI / CD pipelines.
It would be great if you also have experience with one or more * Edge/IoT computing (we have a fleet of deployed edge computers). * infrastructure management (we use Salt). * monitoring (we use Grafana). * video processing & streaming (we use Gstreamer). * experience interfacing ML models (we use PyTorch).
High intrinsic motivation to succeed and ability to work hard
Responsibilities:
Building edge applications processing vision data and communication layers for the compute-constrained edge devices.
Deploying machine learning models to production.
Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU.
Building observability and telemetry
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Senior Full Stack Engineer
Coram AI is a cloud-based video security platform using AI for enhanced search, proactive alerts, and scalable management of security cameras.
Benefits:
Medical, Dental, and Vision insurance
Company equity % in an early-stage startup
100% company-paid private Dental & Vision insurance
Experience Requirements:
3+ years of industry experience and having built systems of reasonable scale
You should be familiar and have experience with the main backend technologies we use, * Knowledge of either Python or Go * Experience with databases Postgres, Redis..
You should be familiar and have experience with front-end technologies we use (Typescript, React, react-query, build tools, React component libraries)
It would be great if you also have experience with one or more * Infrastructure-as-code solutions (we use Pulumi over AWS). * Mobile development (we use React-native). * Any experience with platform engineering (C++), or video streaming is a strong bonus but not required.
High intrinsic motivation to succeed and ability to work hard
Responsibilities:
Design and implementation of new backend APIs and working with the edge team.
Implementing user-facing front-end interfaces and working with the product team.
Ensure the system can scale and have full observability.
Delivering high-quality features, testing them well, and debugging issues
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Founding Product Manager
Coram AI is a cloud-based video security platform using AI for enhanced search, proactive alerts, and scalable management of security cameras.
Benefits:
Medical, Dental, and Vision insurance
401k (No matching)
Top-of-market pay (base and equity)
Education Requirements:
BS in Computer Science
Experience Requirements:
Minimum 2 Years of Product Management experience
Product management experience from an early-stage technology startup preferred
Excited about working hard in a fast-moving startup
Excellent communication and leadership abilities
Responsibilities:
Work closely with the CEO on the product roadmap.
Own product features end-to-end: collaborate with the engineering team and product designer to deliver features of the highest quality and at high velocity.
Continuously test the product, find bugs, and proactively suggest improvements.
Partner with sales and end customers to identify gaps in the product and prioritize them with the engineering team.
Become an expert in competitor offerings, analyze all the reasons we may lose a deal, and improve the product to close the gaps
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Product Marketing Manager
Coram AI is a cloud-based video security platform using AI for enhanced search, proactive alerts, and scalable management of security cameras.
Benefits:
Medical, Dental, and Vision insurance
401k (No matching)
Top-of-market pay (Base and Equity)
Education Requirements:
BS in engineering
Experience Requirements:
Product marketing experience at an early stage technology startup
Excited about working hard in a fast-moving startup (often requiring 60+ hours a week)
Excellent communication and cross-functional collaboration skills.
Experience working with distributed teams across time zones
Other Requirements:
BS in engineering or a way to demonstrate the ability to understand a technically deep product
Responsibilities:
Own product messaging across the website, email, and social channels.
Take end-to-end ownership of the website, working closely with designers and web developers.
Deeply understand the Coram product and competitive landscape, positioning Coram to stand out from the competition and clearly communicating the product value proposition to target audiences.
Own sales collateral, battle cards, and documentation needed by the sales team to win deals.
Collaborate closely with sales leadership and demand generation to provide content that grows top-of-funnel and helps close deals
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Sales Operations Manager
Coram AI is a cloud-based video security platform using AI for enhanced search, proactive alerts, and scalable management of security cameras.
Benefits:
Medical, Dental, and Vision insurance
401k (No matching)
Competitive Compensation Package (Salary and Equity)
Experience Requirements:
4+ years of experience in sales operations, revenue operations, or a similar role.
High intrinsic motivation and desire to work hard
Strong understanding of sales processes and CRM tools (e.g., HubSpot, Salesforce).
Excellent analytical skills with a proven ability to work with large datasets.
Experience creating dashboards and reports to track key sales metrics.
Other Requirements:
Effective communicator with strong organizational and problem-solving skills
Responsibilities:
Manage end-to-end sales process in our CRM
Be the admin of the CRM (we currently use Hubspot)
Build workflows to automate part of the sales process
Build dashboards to report key metrics and derive insights for the sales team
Play a key role in onboarding new AEs and enable them with the right tools
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Data Science Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred
Experience Requirements:
Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application
Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM
Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those
Excellent programming skills in prototyping languages such as Python and R. Python is preferred
Responsibilities:
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
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Full Stack/IOT Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Current BS or MS student or recent graduate. CS major is a plus
Experience Requirements:
React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s
Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design
Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus
Experience with Elasticsearch/ELK stack a plus
Contribute with ideas to overall product strategy and roadmap
Responsibilities:
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
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Data Engineering Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.
Current BS or MS student or recent graduate. CS major is a plus
Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.
BS or MS in Computer Science or related field
Experience Requirements:
Strong understanding of data engineering principles using big data technologies
Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus
Experience with distributed computing using Hadoop and Spark
Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue
Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development
Responsibilities:
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
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Reinforcement Learning Engineer
Figure 02 is an AI-powered, autonomous humanoid robot designed for commercial tasks in various industries, tackling labor shortages and workplace safety.
Experience Requirements:
Confident writing production quality code in PyTorch
Familiar with online and offline reinforcement learning algorithms: PPO, SAC, etc.
Experience tuning hyperparameters and cost functions for these RL algorithms
Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
Familiarity with general ML evaluation tools such as TensorBoard, Weights&Biases, etc
Responsibilities:
Develop, train, and deploy reinforcement learning algorithms for locomotion and manipulation tasks
Build simulation infrastructure to support the training of locomotion and manipulation policies for a general purpose humanoid robot at a large scale
Collaborate with the controls team to integrate policies into the existing control stack
Define, test, and evaluate performance metrics for learned policies
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Teleop Software Engineer
Figure 02 is an AI-powered, autonomous humanoid robot designed for commercial tasks in various industries, tackling labor shortages and workplace safety.
Experience Requirements:
Strong C++ skills for real-time systems
Experience building high-rate VR/haptic teleop systems with force feedback for manipulation in real robot environments
Strong background in API design, designing general purpose code that serves multiple teams
Thrive in a high pace environment, where solutions are often unclear and require exploration
Responsibilities:
Own teleop of the Figure robot, including technical roadmap and use cases
Evaluate different teleop strategies, including motion capture, VR, haptics, and puppeteering
Design a teleop system for whole body manipulation and dexterous finger control
Implement real-time retargeting algorithms for robust and intuitive teleop control
Design scalable solutions that integrate with Autonomy, Controls, and Testing systems at Figure
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Software Engineer, Autonomy Platform
Figure 02 is an AI-powered, autonomous humanoid robot designed for commercial tasks in various industries, tackling labor shortages and workplace safety.
Education Requirements:
Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
Experience Requirements:
Strong proficiency in both C++ and Python
Minimum of 4 years of experience designing flexible, performant software and interfaces for resource-constrained systems such as robots or mobile devices
Experience with Linux and development tools such as debuggers and performance profilers
Responsibilities:
Design, implement and maintain our on-robot software framework for executing, monitoring and testing the autonomy system on our humanoid robot
Collaborate with interdisciplinary robotics, firmware development, and infrastructure teams to identify autonomy framework system requirements and take the lead on satisfying them
Design and implement internal tools that accelerate development and expand software and hardware testing capabilities
Continuously raise the quality of our product by identifying gaps and advocating for improvements across the stack
Provide technical guidance and support to other team members, fostering a culture of excellence and innovation
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Robot Simulation Engineer
Figure 02 is an AI-powered, autonomous humanoid robot designed for commercial tasks in various industries, tackling labor shortages and workplace safety.
Experience Requirements:
Experience with one or multiple physical simulators (e.g. Mujoco, IsaacSim, Drake, Pybullet) and experience in a deployed robotics environment
Have a deep knowledge of state of the art techniques in physical simulation, including accurate simulation of contact dynamics for robot manipulation and locomotion, as well as photorealistic environmental rendering for perception, localization, and machine learning
Strong background in API design, designing general purpose code that serves multiple teams
Thrive in a high pace environment, where solutions are often unclear and require exploration
Other Requirements:
Experience generating simulated assets, task definitions, and Gym environments
Responsibilities:
Own physical simulation of the Figure robot, including technical roadmap and use cases
Evaluate different physical simulation options (commercial or free) and make design trade offs and decisions based on robot requirements
Design scalable solutions that integrate with Autonomy, Controls, and Testing systems at Figure
Enable multiple uses of simulation, including: Generating synthetic datasets for machine learning, Tuning physical simulators to bridge sim-to-real gaps in contact-rich environments like manipulation and locomotion, Designing environments, assets, and APIs that cover customer use cases, Supporting simulation studies that inform future robot design.
Develop and use modern software engineering techniques to implement high quality, well-tested software
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Robot Behavior Coordination Engineer
Figure 02 is an AI-powered, autonomous humanoid robot designed for commercial tasks in various industries, tackling labor shortages and workplace safety.
Experience Requirements:
Experience implementing, testing, and deploying behavior coordination solutions in C++ and/or Python on real robots
Capable of quickly writing massive amounts of high quality, well-tested, behavior coordination software
Possess both a theoretical understanding and have practical experience with behavior coordination algorithms
Have a deep knowledge of state of the art techniques, data structures, and software tools
Thrive in a high pace environment, where solutions are often unclear and require exploration
Other Requirements:
Experience in behavior coordination
Responsibilities:
Implement a robot behavior architecture that provides various behavior authoring tools, such as state machines and behavior trees
Using this architecture, design, implement, test, and deploy robot behavior coordination algorithms for humanoid robots for a large variety of mission scenarios.
Develop and use modern software engineering techniques to implement high quality, well-tested software
Evaluate potential behavior coordination solutions and make design trade offs and decisions based on robot requirements
Collaborate with other Figure team members to develop and implement a full autonomy stack
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