Experience Requirements:

• Junior

Experience Requirements:

• Middle

• Senior

Benefits:

• Medical

• Dental

• Vision

• Professional development

• Employee paid life & disability life insurance policy. An insurance policy pays a sum of money either on the death of an insured person or after a set period.. Disability insurance replaces a portion of your income if you can't work because of illness or injury. disability insurance - provides a monthly income if you become disabled as a result of illness or accident. Paid time off - is paid time away from work that employees can use for any reason - vacation, illness, or appointments.Paid sick leave - is paid time off from work that workers can use to stay home to recover from an illness or to care for a sick family member.Paid vacation - is paid time off from work that workers can use for any purpose, such as vacation, rest, or relaxation. Paid holidays - are paid days off from work that workers get for holidays, such as New Year's Day, Memorial Day, and Christmas. Parental leave - is paid or unpaid time off from work to care for a new child. Bereavement leave - is paid or unpaid time off from work to grieve the death of a loved one. Jury duty leave - is paid or unpaid time off from work to serve on a jury. Military leave - is paid or unpaid time off from work for military service. Voting leave - is paid or unpaid time off from work to vote.

Responsibilities:

• Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation.

• Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements.

• Operate teleoperation equipment as needed to guide the robot through specific behaviors.

• Follow proper equipment and robot maintenance procedures, including setup and operation.

Experience Requirements:

• 2+ years of closing sales experience at a technology company and experience closing 6-7 figure enterprise contracts.

• Experience managing a consultative sales cycle with executives at Fortune 50 companies.

Responsibilities:

• Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.

• Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.

• Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.

• Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.

• Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.

Experience Requirements:

• 1-2 years of sales experience

Responsibilities:

• Manage your own sales and meetings pipelines in a specified territory

• Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)

• Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)

• Qualify prospects/accounts through email, phone, Linkedin, etc

• Manage prospects, accounts, and opportunities in Salesforce

Education Requirements:

• Bachelor’s Degree in Engineering, Computer Science, or a technical field.

Experience Requirements:

• 3+ years of working experience in a technical role interfacing with technical and non-technical folks.

Responsibilities:

• Build, deploy, and maintain Python automation scripts and other tools to streamline the data annotation process, automate repetitive tasks, and reduce manual effort.

• Identify bottlenecks in the data labeling pipeline and implement solutions to enhance throughput, accuracy, and scalability of labeling operations.

• Work closely with the Project Management team to ensure that data labeling meets accuracy standards and troubleshoot any issues related to data quality.

• Plan quality assurance workflows to use GenAI and open-source models to find data anomalies.

• Set up monitoring tools to track the performance of data annotation operations, reporting key metrics and areas for improvement to leadership.

Education Requirements:

• Bachelor’s degree (e.g., BA/BS) in Computer Science, Software Engineering, or related field of study.

Experience Requirements:

• Eight or more (8+) years of experience in software quality assurance with at least 3 years focused on test automation.

Responsibilities:

• Design, implement, and maintain a scalable, reusable, and efficient test automation framework for UI, API, and integration testing using tools such as Cypress, Cucumber, and Gherkin.

• Define and enforce best practices, coding standards, and governance for test automation to ensure maintainability and scalability across development teams.

• Embed automated testing into CI/CD pipelines, enabling continuous feedback and faster software releases.

• Act as the subject matter expert (SME) for test automation, guiding QA engineers and developers on best practices.

• Develop and manage test data strategies to ensure reliable test execution across automation suites.

Benefits:

• Private Health Insurance

• Company Equity

• Weekly Office Events - Catered Lunch and Breakfast

• Stocked Kitchen

• Company Outings & Quarterly Events Hybrid Working Meal Coupons - Monthly LinkedIn Learning & Training Opportunities/Budget Mental Health Benefits - Wellness Coach App Subscription Great office location in the city center - Parking slots available Gym Subscription - UP Fit Quarterly Charitable Giving Allowance Peer recognition Allowance

Education Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.

Experience Requirements:

• Three (3+) or more years of experience working as a machine learning engineer or similar related engineer role.

Responsibilities:

• Develop and implement AI/ML solutions aligned with company goals.

• Lead the research, development, and deployment of AI/ML models using Python, LangChain, LLMs, and HuggingFace transformers, as well as libraries for Deep Learning (e.g., Pytorch, Tensorflow), ML libraries (e.g., XGBoost, Scikit-learn) and NLP (e.g., spaCy, NLTK).

• Fine-tune existing models and/or create new models from scratch to enhance business processes and outcomes.

• Collaborate cross-functionally with teams to identify opportunities for AI/ML integration and optimization.

• Stay abreast of industry trends and advancements to ensure our AI initiatives remain innovative and impactful.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's degree in Computer Science or a related field.

Experience Requirements:

• Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.

• Proven experience in designing complex systems and strong software engineering skills.

• Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design.

• Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes.

• Demonstrated expertise in DevOps practices, with a focus on ML.

Responsibilities:

• Build and maintain cloud infra and distributed systems for MLOps

• Build out internal training framework to make research with large distributed models easy and fun

• Design and develop systems to support Voxel's ML development, with a focus on computer vision applications.

• Provide technical guidance, mentorship, and project management support.

• Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

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

Experience Requirements:

• 8+ years of experience developing data-intensive backend APIs and service at scale

• 3+ years of experience leading cross-functional engineering projects

• Proven track record of customer-centric technical leadership and delivering customer value

• Solid engineering and coding skills (preferably Go, C++, Java, or another typed/compiled language)

• Production experience with cloud platforms (AWS, GCP) and cloud native architecture

Responsibilities:

• Collaborate with engineering and non-engineering teams across the company to better understand our users and how our technology can meet their evolving needs

• Lead engineering projects from scoping to implementation to maintenance

• Research, propose, and design backend services and APIs based on the needs of customers and internal systems

• Implement backend services and APIs (Go, [Node.js](http://Node.js), Python, gRPC/ConnectRPC, AWS)

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

• 5+ years of experience working in Cloud Infrastructure, DevOps.

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Experience Requirements:

• 5+ years of experience with REST, API design patterns, scalable containerized systems, and microservices.

• Experience building large distributed systems and handling scalability, with expertise in Flink, Kafka, or Kinesis for stream processing.

• Demonstrated experience in designing, architecting, and delivering large-scale distributed systems, from concept to production.

• Hands-on experience with Terraform and cloud infrastructure (AWS, Azure, or GCP).

Responsibilities:

• You will contribute to the development, scaling, and securing of large distributed systems, data processing pipelines, access control systems, and Cloud APIs

• Solve unique technical challenges

• Develop, test, and deploy services within the Voxel ecosystem

• Influence the technical direction of the teamUphold high code quality and architectural design standards

• Design scalable and resilient systems and services

Benefits:

• Extensive / Generous health, dental, and vision insurance.

• Highly competitive paid parental leave and support system.

• Ownership in the business through an Equity Incentive Plan.

• Generous paid time off and / or flexible work arrangements.

• Daily meals in-office, vibrant company events, team-building.

Education Requirements:

• Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.

Experience Requirements:

• 5+ years of experience working in Cloud Infrastructure, DevOps.

• Proficiency with the Kubernetes ecosystem

• Experience with AWS services including IAM, S3, RDS, EKS.

• Experience with IaC such as Terraform.

• Experience building and scaling high availability distributed systems.

Responsibilities:

• Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.

• Develop and implement DevOps practices to deploy applications in AWS EKS.

• Build infrastructure configuration-as-code modules using Terraform.

• Design and develop architectures for running AI on realtime video at scale.

• Implement security best practices for the software engineering organization.