Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in India

• Fluent/Native in Hindi

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Follow instructions, quality standards, and productivity requirements

Benefits:

• Medical Insurance

• Competitive Incentive Program

• PF for 1,800 INR monthly

• Collaborative Engagement events

• Eligibility for additional salary raise

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in India

• Fluent/Native in English and Hindi

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Grammar, punctuation, and spelling proficiency in English and Hindi languages

Experience Requirements:

• 3 - 7 years

Experience Requirements:

• 8 - 13 years

Benefits:

• Competitive Salary

• Innovation Focus on cutting-edge AI technology

• Growth Opportunity in AI testing expertise

• Collaborative and supportive work environment

• Continuous exposure to latest developments in Generative AI

Experience Requirements:

• 2-5 years in software testing with hands-on automation experience

Other Requirements:

• Proficiency in Selenium Java OR Cypress (JavaScript)

• Strong understanding of test automation frameworks

• Experience with API testing and web application testing

• Basic understanding of AI/ML testing concepts

• Proven ability to work effectively in small, agile teams

Responsibilities:

• Design and execute test strategies for Large Language Model (LLM) integrations

• Test conversational AI capabilities, response accuracy, and intent recognition

• Ensure seamless integration between AI components and core ITSM functionalities

• Build and maintain automated test suites using Selenium or Cypress

• Collaborate with teams to identify and resolve AI-related bugs

Education Requirements:

• Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

Experience Requirements:

• 7+ years of experience as a Data Scientist or Machine Learning Solutions Architect

• 5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

• 1+ year of experience with technologies related to large language models

Other Requirements:

• Experience with open source frameworks like LangChain and LlamaIndex

• Knowledge of prompt engineering and state-of-the art model architectures

• Familiarity with AWS, Azure & Google services and the cloud computing landscape

• Knowledge of model deployment technologies such as TorchServe, ONNX, Triton, vLLM

• Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

Responsibilities:

• Help lead the data science team fostering innovation and excellence

• Develop technical assets and IP across automated pentesting and real-time monitoring

• Engage with product owners to influence product direction

• Track and analyze emerging threats to AI systems

• Develop and implement detection and mitigation strategies for identified threats

Benefits:

• Competitive salary and equity package

• Comprehensive medical, dental, and vision insurance

• Flexible work hours and remote-friendly policies

• State-of-the-art tools and equipment

• Professional development through technical talks, conferences, and leadership opportunities

Experience Requirements:

• 6+ years of Senior Software experience designing, building, and maintaining software systems

• Proven experience building and managing complex distributed systems in production

• Hands-on experience with Kubernetes and the Cloud Native ecosystem (e.g., Helm, Istio, Prometheus)

Other Requirements:

• Proficiency in modern Python and at least one strongly typed language (Go, Java, C#, or C++)

• Strong experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or Pulumi

• Demonstrated experience operating production systems with SLAs

• Expertise in setting up robust monitoring and alerting systems

• Passion for working in an agile, fast-paced startup environment

Responsibilities:

• Build and Maintain Software Engineering Practices and pipelines

• Collaborate across Product Managers, UX Designers, and Data Scientists

• Architect and manage cloud infrastructure using Infrastructure as Code (IaC) tools

• Monitor and optimize the performance, reliability, and scalability of production systems

• Build and manage Kubernetes clusters and leverage the cloud-native ecosystem

Education Requirements:

• Bachelor’s degree in Engineering, Business, Science, Mathematics, Finance, or Healthcare

Experience Requirements:

• Minimum of five (5) years of experience in a similar role or function

• Experience managing agile product teams and collaborating with engineers and designers

• Strong analytical and problem-solving skills

• Excellent communication and relationship-building abilities

Responsibilities:

• Build and nurture relationships with business partners, stakeholders, and customers.

• Take full product management responsibility for one large product area or two smaller teams.

• Set clear goals, standards, and protocols while managing resources effectively.

• Identify opportunities for improvement across teams and processes.

• Own and deliver on the product roadmap with precision and consistency.

Experience Requirements:

• 5–7 years of experience in ML engineering or applied machine learning.

• Strong proficiency in Python and libraries like Pandas, Dask, NumPy, Scikit-learn.

• Hands-on experience with PyTorch or TensorFlow for model development.

• Solid understanding of MLOps tools: Airflow, Kedro, MLflow (or equivalents).

• Experience deploying ML models in production environments (APIs, batch jobs, streaming).

Other Requirements:

• Familiarity with containerization (Docker) and orchestration (Kubernetes).

• Exposure to cloud platforms (Azure, AWS, or GCP) for ML workloads.

• Experience with Power BI or similar BI tools for analytics and visualization.

Responsibilities:

• Design, train, and optimize ML models using PyTorch or TensorFlow for production-grade applications.

• Build scalable data pipelines for feature engineering and model training using Pandas or Dask.

• Develop and maintain ML workflows using Airflow, Kedro, and MLflow for reproducibility.

• Automate model deployment and lifecycle management across environments.

• Collaborate with business and analytics teams to translate ML outputs into actionable insights.

Benefits:

• Medical/dental/vision

• Company-sponsored life insurance

• 401(k) plan

• Early-stage equity

• Unlimited PTO

Experience Requirements:

• 5+ years of hands-on mechanical and electrical assembly experience

• Experience in a production, manufacturing, or assembly team lead or supervisor role

• Experience working with MES and WMS systems or similar process-driven tools

Other Requirements:

• Willingness to spend ~3 months in Snow Hill, NC

• Passion for robotics or electric vehicles

• Excellent team leadership and communication skills

Responsibilities:

• Lead daily production operations and supervise assembly team

• Execute and continuously improve standardized build processes

• Maintain and utilize MES and WMS to manage build flow and materials

• Train and mentor production team members on assembly techniques

• Partner with engineering and supply chain for process improvements

Benefits:

• Medical/dental/vision

• Life Insurance

• 401K Plan

• Early-stage equity

• Unlimited PTO

Experience Requirements:

• 5 years of experience in UX, interaction, or product design

• Experience with robotics, IoT, or complex systems preferred

• Strong portfolio demonstrating user-centered design

Other Requirements:

• Experience conducting field studies and usability testing

• Familiarity with tools such as Figma and Jira

Responsibilities:

• Lead end-to-end user experience design for physical and digital interfaces

• Contribute to overall product vision by representing user perspective

• Translate insights into user journeys, wireframes, and prototypes

• Conduct user research to uncover real-world pain points

• Develop and maintain design systems for physical and digital UX

Benefits:

• Medical/dental/vision

• Company paid Life Insurance

• 401K Plan

• Early-stage equity

• Unlimited PTO

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• 5+ years of strategic sales experience of a technical product

Other Requirements:

• Ability to learn and operate sales and revenue operations tools

• Onsite travel required up to 50%

• Process-oriented with strong organizational skills

Responsibilities:

• Developing the sales pipeline and closing new sales

• Prospecting for new opportunities

• Qualify prospects and identify key contacts

• Forecast and close large multiyear hardware & SaaS contracts

• Maintain forecast and provide management with updates

Benefits:

• Medical/dental/vision

• Equity

• 401K Plan

• Unlimited PTO

• Paid parental leave

Education Requirements:

• Bachelors in business, marketing, sales, or related field

• MBA or degree in engineering a plus

Experience Requirements:

• 10+ years of progressive Go-To-Market leadership experience

• Proven success growing bookings from $8M–10M into $50M+

• Industry experience in agriculture, construction, robotics, or industrial markets

Other Requirements:

• Strong executive presence and communication skills

• Proficient in Google Suite, Excel, Hubspot, Slack

• Travel required up to 40%+

Responsibilities:

• Own and evolve Burro’s Go-To-Market strategy

• Grow bookings 3X in 2026

• Lead Direct & Channel / Dealer Sales, Customer Success, and Marketing

• Scale customer adoption and robot deployment

• Drive revenue predictability and operating excellence

Benefits:

• Medical insurance

Experience Requirements:

• 3 years of experience/knowledge in device modeling and TCAD simulation

• Understanding of semiconductor device physics

• Knowledge in Synopsys TCAD tools

Other Requirements:

• Willingness to learn new technologies and tools

Responsibilities:

• TCAD simulation

• Setting up Verilog-A & Spectre models, and simulation of these

• Simplification of mathematical device models for faster simulation

• Process engineering to fabricate devices in R&D and volume fabs

Education Requirements:

• BS/MS/PhD in EE, CS, or a related field

Experience Requirements:

• Understanding in computer architecture, digital design, and micro-architecture concepts

• Familiarity with AI/ML algorithms, frameworks, and workloads

• Programming experience in C/C++ and Python

Responsibilities:

• Design and specify core architecture modules

• Partner with the software team to evaluate module performance

• Monitor emerging trends and research in AI workloads

Experience Requirements:

• 5+ years experience

• Extensive knowledge in analog design in theory and hands-on

• At least two successful tape-out

• Experience in chip measurement

Responsibilities:

• Determining the specifications of the analog blocks

• Design & implement ultra-low power analog IC periphery blocks

• Contribute the layout floor-plan

• Post-layout characterization

• Developing the verification scheme for analog blocks

Education Requirements:

• Background in component-level circuit design & general electrical engineering

Experience Requirements:

• Experience with mechanical CAD design

• Experience with Python scripting or Matlab, LabView

Other Requirements:

• Interest in test automation for highly integrated analog circuits

• Base knowledge / interest to re-learn semiconductor device physics

Responsibilities:

• Design mechatronic assemblies for automated test & characterization

• Program automation routines for automated testing

• Design PCBs for test automation

• Design PCBs for prototype systems

Experience Requirements:

• In-depth knowledge of C++

• Hands-on experience in compiler technologies like LLVM

Responsibilities:

• Building/maintaining ML compiling toolchain

• Design & implement various compiler operations

• Collaborate with ML & quantization engineers/researchers

Education Requirements:

• Master’s degree, PhD, or strong engineering skills/understanding of ML tooling

Experience Requirements:

• Fluency in Python and PyTorch

• Understanding of training workflows

• Practical experience with model optimization

• Ability to architect and maintain scalable systems

Other Requirements:

• Collaborative mindset

Responsibilities:

• Design and implement a geo-distributed QAT system

• Build collaborative training and tooling infrastructure

• Translate new quantization methods into engineering components

• Collaborate with researchers