Benefits:

• Build the cutting edge AI solutions used by over 6000 customers worldwide

• Ownership across engineering functions and greenfield products

• Work with a global engineering, design and product teams

• A safe space to explore, create, and challenge the status quo

Education Requirements:

• A Bachelor’s degree in Computer Science or IT Engineering

Experience Requirements:

• 8+ years of hands-on experience in software engineering with a SaaS company including 3+ years in managing high-performing engineering teams

• Strong skills with some of the back-end technologies we use: NodeJS, Typescript, MongoDB, message queuing systems or Kubernetes, and some experience in using Docker

• Exposure to front-end skills would be a great addition

• Experience with large scale architectural patterns, event-driven microservices, well-designed APIs, and efficient algorithms

Other Requirements:

• Technical leader and team builder who thrives on structure, scale, and solving hard problems

• Experience shaping engineering processes — from task breakdown and estimation to cross-team collaboration

• Expertise in navigating and leading a team through ambiguous situations and align strategy with company priorities

• Commitment to code quality, testing, and software craftsmanship

• Excellent communication and stakeholder management skills

Responsibilities:

• architect the next generation of AI-first platforms that drive billions of conversations

• mentoring exceptional engineers

• collaborating across functions

• turning vision into scalable, intelligent systems that power real business outcomes

Benefits:

• Competitive salary

• Health Insurance (Medical, Dental, Vision)

• Flexible PTO

Education Requirements:

• Bachelor's/Master’s degree in Computer Science or a related field

Experience Requirements:

• 3+ years of experience in full-stack development

• Strong knowledge of CS fundamental concepts and web development

• Familiar with languages like JavaScript, Typescript, Node.js, React, REST APIs, PostgreSQL databases, Tailwind CSS, Vercel, GCP

• Highly comfortable with LLM prompt engineering in production software systems

• Proficiency in designing scalable, robust, and efficient software architectures

Other Requirements:

• Strong bias for speed and action

• Exceptional proactivity in system and process improvements

• Knowledgeable about tools and strategies for quality product development

• Team player

• Solves problems with first principles thinking

• Strong problem-solving and communication skills

Responsibilities:

• Develop and maintain high-quality frontend and backend software solutions

• Take full ownership of projects, from conception to deployment, ensuring robustness, scalability, and minimal technical debt

• Collaborate with cross-functional teams to translate needs into technical solutions

• Proactively improve existing systems, anticipating high-value projects and executing them autonomously

Education Requirements:

• Master or Ph.D. degree in computational cognitive science, robotics, machine learning, applied mathematics, statistics, or related fields

Experience Requirements:

• Proven publication track record at conferences such as ICML, NeurIPS, ICLR, AAAI, ICRA, IROS, TPAMI, IJRR, etc.

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Other Requirements:

• Strong interest in one or multiple of the following topics: Multi-agent task planning and collaboration

• Strong interest in Multi-agent systems, predictive multi-agent systems

• Strong interest in Video understanding: human activity recognition and intent prediction

• Strong interest in Reinforcement learning, multi-agent reinforcement learning

• Strong interest in Algorithmic game theory

• Strong interest in Theory of mind, Bayesian cognitive science

• Strong interest in Physical and social interaction, human communications

• Broad understanding of the full machine vision pipeline from sensors to high-level algorithms

Responsibilities:

• Invent, analyze, design, develop and optimize multi-agent planning algorithms

• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions

• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency

• Learn constantly, dive into new areas with unfamiliar technologies

Experience Requirements:

• At least two years’ experience in designing and conducting robotics-related projects

Other Requirements:

• Strong hand-on skills with proficiency in at least one of the fields: CAD design (AutoDesk, Solidworks, etc.); PCB design; CNC machine operations; Electric or hydraulic motor development and control (For hardware)

• Strong programming skills with proficiency in at least one of the fields: ROS; Embedded systems; Deep learning using PyTorch or Tensorflow (For software)

• Strong interest in one or multiple of the following topics: Control and Estimation

• Strong interest in SLAM

• Strong interest in Robot Design and Dynamic Modeling

• Strong interest in Multi-robot and Swarm Systems

• Strong interest in Machine Learning, including Deep Learning, Imitation Learning, Reinforcement Learning etc.

• Strong interest in Perception, including Computer Vision, Tactile Perception, Audio Perception, Robot Dialogue

• Strong interest in Cognitive Robot and Human-robot Interaction

• Strong interest in Task and Motion Planning

• Strong interest in Other related fields in Robotics

Benefits:

• Competitive salary and comprehensive benefits

• Health insurance, dental insurance, and vision insurance options

• A 401(k) plan with matching employer contributions

• An environment where your efforts will make a measurable impact

Education Requirements:

• A BA/BS degree

Experience Requirements:

• 3+ years experience as a QA engineer, preferably with a SaaS or internet company

Other Requirements:

• A self-starter with a proactive approach to identifying and resolving testing challenges

• The ability to work autonomously while collaborating effectively in a team environment

• Strong multitasking skills, capable of handling multiple testing projects simultaneously

• Experience in test automation for both web (Next.js, Node.js) and mobile applications

• Knowledge of AI-powered testing tools and frameworks

• Proficiency in manual testing techniques when necessary

• Experience using JIRA for bug tracking and managing test cases

• Experience with CI/CD pipelines and integrating automated tests into development workflows

• Hands-on experience with Selenium, Appium, Cypress, Playwright, or other test automation tools

• Familiarity with JavaScript/TypeScript-based automation frameworks

• Knowledge of performance and load testing tools

Responsibilities:

• Design, develop, and maintain automated test suites for web and mobile applications

• Utilize AI-driven tools to optimize and enhance testing processes

• Perform manual testing when necessary to validate new features and bug fixes

• Take ownership of the end-to-end testing process, identifying gaps and proposing improvements

• Work closely with developers, product managers, and other stakeholders to define test plans and strategies

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

• Bachelor’s degree in Computer Science or a related field

Experience Requirements:

• 7+ years of robust experience with hands-on development & design experience

• 3+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning, and optimizations of PyTorch models

• Software development experience in Python

• Experience with at least one LLM such as Llama, GPT, Claude, Falcon, Gemini, etc.

• Expertise in AWS Bedrock and the AWS Agent Development Kit is mandatory

Other Requirements:

• Familiarity with full software development lifecycle

• Knowledge about ERP, HR technology, and Legal business processes

• AWS certifications (e.g., AWS Certified Solutions Architect, Machine Learning – Specialty) are a plus

• Experience working with large-scale generative AI or LLM-based applications

• Knowledge of secure application development and data privacy practices in AI/ML workloads

Responsibilities:

• Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents

• Build scalable, production-grade AI/ML solutions using AWS Bedrock and the AWS Agent Development Kit

• Implement back-end services and APIs to interact with foundation models for tasks such as automated sourcing, content generation, and prompt orchestration

• Create intuitive and performant front-end interfaces using Angular that connect with GenAI capabilities

• Deploy and maintain enterprise-ready GenAI applications at scale

Benefits:

• Amazing Benefits

• Social Impact opportunities

• Talent development opportunities

• Community fostering at Okta

Education Requirements:

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

Experience Requirements:

• 5+ years of experience leading and managing teams of software engineers and analysts

• Deep domain experience in Go-To-Market areas (Sales, CPQ, Customer Support)

• Strong background in IT application development across SaaS/PaaS platforms such as Salesforce, Workday, NetSuite, Anaplan, Xactly, and Boomi

• Proven success leading Agile software delivery teams

• Demonstrated ability to coach and develop technical talent

Other Requirements:

• Strong understanding of key business value streams (Campaign to Opportunity, Opportunity to Order, Order to Cash, etc.)

• Exceptional communication, stakeholder management, and executive presentation skills

• Ability to build effective teams

• Ability to develop talent

• Ability to drive results

Responsibilities:

• Hire, mentor, and retain exceptional talent; foster a culture of continuous learning, feedback, and high performance

• Manage a team of product analysts and engineers to deliver high-quality GTM technology solutions

• Oversee end-to-end project execution, ensuring projects meet scope, budget, timeline, and quality objectives

• Optimize team resources across projects, balancing innovation initiatives with ongoing operational needs (KTLO)

• Promote Agile best practices, ensure backlog health, and lead sprint planning in partnership with Product Managers and Delivery Leads

Benefits:

• Join a mission-driven company focused on improving accessibility for the Deaf community.

• Work with world-class experts in AI and computer vision.

• Enjoy a collaborative, supportive, and flexible work environment.

• Competitive compensation package including salary + equity.

Education Requirements:

• MS or PhD in Computer Science (or related field) with a focus on Sign Language Recognition, Computer Vision, or deep learning.

Experience Requirements:

• Proven track record in computer vision, machine learning, and SLR systems.

• Experience with large-scale datasets, especially in diverse, real-world environments.

• Expertise in frameworks like TensorFlow, PyTorch, or similar.

Other Requirements:

• Strong problem-solving skills and a passion for accessibility and innovation.

Responsibilities:

• Lead technical design and implementation of our SLR MVP.

• Collaborate with the Deaf-led dataset creation team, helping steer efforts based on model needs and business goals.

• Develop computer vision and machine learning models focused on sign language recognition.

• Contribute to the codebase, ensuring quality, scalability, and accuracy.

• Foster a robust feedback loop with the dataset creation team to continually improve the model.

Benefits:

• Bonuses

• Equity

Experience Requirements:

• 2+ years of experience in software engineering, ML engineering, or data-focused development roles

• Exposure to deploying machine learning models or supporting AI/ML workloads in production environments

• Proficient in Python, with experience building ML models or working with frameworks like PyTorch, TensorFlow, or similar

• Experience with cloud platforms (AWS, GCP, Azure)

• Familiarity with MLOps concepts

Other Requirements:

• Strong communication skills and a collaborative mindset

• 50-80% travel to client sites

Responsibilities:

• Contribute to the development of reliable, scalable backend systems that power machine learning workflows and data pipelines

• Help manage and improve cloud infrastructure to support efficient model deployment and operational stability in real-world environments

• Participate in identifying and addressing engineering challenges, including those surfaced through direct client feedback and usage

• Work closely with ML engineers, data scientists, and external stakeholders to integrate machine learning capabilities into production systems

• Assist in developing internal tools and infrastructure to streamline experimentation, training, and model serving across varied use cases

Benefits:

• Offers Equity

Experience Requirements:

• Strong software engineering skills

• Excellent quantitative, analytical and estimation skills

• Strong grasp of computer and networking architecture, particularly with GPU hardware and HPC networks

• Familiarity with AI-powered developer tools like Windsurf, Copilot, ChatGPT, and others is a strong plus

Responsibilities:

• Develop custom LLM serving systems and corresponding datacenter infrastructure to deliver high model quality at very low latency and cost

• Improve our LLM training software both in terms of model architecture changes that improve model quality or increase iteration speed and reliability

• Build indexing systems capable of serving queries instantly from many terabytes of data within customer deployments

• Contribute to infrastructure for petabyte-scale data pipelines to accelerate our ML research work

Benefits:

• Competitive compensation and benefits package

• The opportunity to work with cutting-edge internal development tools like Windsurf IDE

• A collaborative and innovative work environment where your ideas matter

• The chance to directly impact the productivity and success of a growing tech company

Experience Requirements:

• Strong foundation in software engineering principles, with experience in full-stack development

• Hands-on experience managing and configuring SaaS tools (e.g., Slack, Asana, Google Workspace, Salesforce, or similar)

• Proficiency in programming languages (e.g., JavaScript, Python, or other scripting languages)

• Experience with APIs and building integrations is preferred

Other Requirements:

• Ability to translate business needs into technical solutions

• Strong interpersonal skills to work effectively with non-technical stakeholders and gather requirements

• Experience with low-code or no-code platforms is a plus

• Familiarity with modern DevOps practices and tooling

• Previous experience in a similar role, building internal applications or tools

Responsibilities:

• Develop, deploy, and maintain internal applications using Windsurf IDE, tailored to meet the operational needs of the organization

• Administer and optimize the use of various SaaS tools, integrating them into custom workflows where necessary

• Collaborate with cross-functional teams to identify inefficiencies and opportunities to automate manual processes

• Write clean, maintainable, and well-documented code for internal tools

• Troubleshoot and resolve technical issues related to internal systems and integrations

Benefits:

• Offers Equity

Experience Requirements:

• Strong software engineering skills

• Familiarity with AI-powered developer tools like Windsurf Plugin, Copilot, ChatGPT, and others is a strong plus

Other Requirements:

• A team player and self-starter

• Hunger to dream up, plan, design, build, and iterate on products independently without the guidance of a product manager or designer

• Deep curiosity about the latest AI research and applications

• Motivated to turn AI into a reality

Responsibilities:

• Propose and build AI-powered experiences for millions of developers, including professional software engineers for Fortune 500

• Interface with complex, AI-powered systems, such as context retrieval and code generation, with emphasis on delivering efficient, scalable code

• Demonstrate initiative and the ability to start and make progress on projects independently

• Swiftly design, track, and analyze new product experiment results

• Document findings and synthesize data with a drive to consistently improve

Benefits:

• Offers Equity

Education Requirements:

• Bachelors / Masters degree in computer science, mathematics or physics

• Ideally attendance at a top university, or participation in programming contests

Experience Requirements:

• Minimum 2+ years of Software Engineering experience is required

Benefits:

• Salary + commission + equity

• Medical, dental, vision, and 401(k)

• Catered lunches, fully stocked kitchen, commuter perks

• Opportunities for learning, advancement, and becoming a key part of our rapidly growing AI movement

Education Requirements:

• Bachelor’s in CS/related field or equivalent experience

Experience Requirements:

• coding proficiency (in an OOP language)

• At least 1 year in presales or consulting; comfortable translating complex tech into clear business value

• Familiarity with AI-powered developer tools (e.g., Windsurf, Copilot, ChatGPT) and excitement for emerging technologies like LLMs

Other Requirements:

• Strong written and verbal abilities, capable of engaging both technical and non-technical audiences

• Ability to learn quickly, work independently, and thrive in a fast-paced environment

Responsibilities:

• Present Windsurf’s vision, benefits, and differentiators to stakeholders at every level, from developers to the C-suite

• Drive product discussions, conduct evaluations, and showcase how Windsurf addresses diverse use cases

• Deliver technical training, create documentation and demos, and develop resources (blog posts, guides, videos) to help developers maximize productivity

• Provide critical feedback from customers to Product and Engineering, influencing the product roadmap and success strategies

Experience Requirements:

• Entry Level

Other Requirements:

• JavaScript

• TypeScript

• modern web stacks

• Test-Driven development

• Project management

• Postman or other API platforms

• Data models and validation

Responsibilities:

• Collaborate with the team to design, code, test, and deploy data synchronization solutions

• Work with APIs and protocols to integrate data synchronization capabilities into existing and new applications.

• Maintain thorough documentation of code, processes, and best practices.

• Stay up-to-date with industry trends and emerging technologies related to data synchronization.

• Clearly communicate technical details to stakeholders of varying roles and levels of technical understanding.

Benefits:

• Competitive compensation

• A chance to build a product that actually matters to millions of people

• Freedom to work remotely with a globally distributed team

• Offsites in different countries with people who actually like each other

• A trustworthy, high-responsibility environment where your ideas really matter

Experience Requirements:

• 5+ years of hands-on experience in DevOps, cloud infrastructure, or site reliability engineering

• Strong expertise in multi-cloud and hybrid infrastructure including AWS, GCP, and on-premises environments

• Experience with MLOps tooling such as MLFlow, Kubeflow, DataRobot, or similar platforms for ML lifecycle management

• Experience with containerization and orchestration (Docker, Kubernetes) specifically for ML workloads and GPU clusters

• Deep understanding of CI/CD pipelines for machine learning applications and model deployment automation

Other Requirements:

• Background in supporting data science teams and understanding of ML experimentation workflows

• Experience with edge computing and distributed AI inference infrastructure

• Previous startup experience building and scaling AI infrastructure from the ground up

• Knowledge of AI compliance and governance frameworks for production AI systems

Responsibilities:

• Design, build, and maintain scalable infrastructure across cloud, on-premises, and hybrid environments to support our rapidly growing AI platform

• Support AI teams and MLOps workflows by implementing specialized tooling, monitoring, and deployment pipelines for machine learning models

• Automate deployment, monitoring, and scaling of services using modern DevOps tools and practices across diverse infrastructure environments

• Ensure high availability, reliability, and security of production and staging environments in multi-cloud and hybrid setups

• Collaborate with AI and backend engineers to streamline CI/CD pipelines optimized for ML workflows and bring new features to production

Benefits:

• industry-leading compensation packages

• on-the-house food/snacks

• generous medical benefits

• ask-no-questions leave policy

• comprehensive career path

Education Requirements:

• BTech/BE/Mtech

Experience Requirements:

• 1 – 4years

• 2+ years of expertise in software development with one or more of the general programming languages (e.g., Python, Java, C/C++, Go). Experience in Python and Django is recommended.

Other Requirements:

• With an entrepreneurial mindset

• Capable of quick problem-solving without sacrificing good design

• An out-of-the-box thinker with good code discipline

• Deep understanding of how to build an application with optimized RESTful APIs.

• Sound knowledge of SQL queries & DB like PostgreSQL(must) or MySQL.

Responsibilities:

• Building highly scalable services to handle terabytes of data.

• Finding innovative ideas to solve highly complex engineering problems

• Push the boundaries of performance, scale, and reliability of the Draup’s core services

• Own, execute and deliver products/features end-to-end from planning to design to development to deployment

• Be the go-to person for the team for guidance and troubleshooting

Benefits:

• Hands-on exposure to cutting-edge AI test automation

• Ownership and room to innovate in a collaborative, high-impact environment

• Competitive pay

• flexible policies

• fun team

Education Requirements:

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

Experience Requirements:

• 3–4 years’ hands-on automation experience

Other Requirements:

• Strong with Playwright (preferred) or Selenium/Cypress and one scripting language (JS/TS, Python or Java)

• Familiarity with AI-based testing platforms

• Solid API testing & SQL skills; sound grasp of STLC and defect management

• Clear communicator with sharp analytical instincts

• Nice to have: BDD (Cucumber/SpecFlow), performance testing (JMeter/LoadRunner), TestRail/Zephyr, ML model validation

Responsibilities:

• Build & maintain automation with Playwright, Selenium, Cypress or equivalent

• Super-charge coverage using AI-powered tools

• Create, run and optimize manual, API (Postman/Rest Assured) and database (SQL) tests

• Triage results, file defects in Jira, and drive them to closure

Education Requirements:

• MS or PhD in Cognitive Psychology, Psychology, User Experience, Human Factors, Mathematics, Statistics, Engineering, or other related field

Experience Requirements:

• 5+ years of professional experience

• Experience with HMT, HMI, HSI, Human Factors, Human Performance, and Usability

• Experience engaging with end users and stakeholders

• Programming skills in Python

Other Requirements:

• US CITIZENSHIP REQUIRED and ability to obtain a U.S. Security Clearance

Responsibilities:

• Perform Human-Machine Teaming Test and Evaluation (HMT T&E) of Artificial Intelligence

• Lead user engagement studies, knowledge elicitation sessions, human-in-the-loop assessments, and workflow analysis

• Identify appropriate human performance metrics to evaluate the system performance and effectiveness of Human-AI Teaming

• Perform quantitative and qualitative assessments of human performance with AI systems

• Develop UI mockups

Benefits:

• Competitive salary

• Equity in a profitable, high-growth company

• Fully remote (±3hrs GMT timezone)

• Company-provided laptop and software budget

• Budget for industry conferences (AI Engineer, WebSummit, etc.)

Experience Requirements:

• 5+ years experience as a software engineer

• Strong proficiency in Python and backend frameworks (FastAPI preferred)

• Solid experience with React/NextJS and TypeScript

• Experience maintaining and scaling codebases with methodologies like TDD

• Familiarity with cloud platforms (GCP preferred) and infrastructure automation

Other Requirements:

• You have concrete career goals.

• You move fast and expect your teammates to move quickly, too.

• You have a high quality bar for your work.

• You're looking for teammates, not coworkers

Responsibilities:

• Implement and maintain robust backend systems using Python, FastAPI, and advanced database frameworks

• Develop responsive and efficient frontend components with NextJS, React, and TypeScript

• Contribute to our LLM and ML services for generating creative content (images, infographics, icons, text)

• Build and improve scalable infrastructure with microservices on GCP, AWS, and Azure

• Participate in code reviews and help maintain high code quality