Benefits:

• Competitive salary and equity

• Work remotely, no commuting to the office

• 21 days paid vacation

• Company-sponsored team retreats, events, and meals

• Comprehensive health benefits, including medical, dental, vision, mental health, and monthly wellness stipend. M1 Macbook Pro, 4K display, accessories, and a monthly AI stipend to explore new tools Comprehensive family benefits, including 16 weeks paid family leave and support for IVF, egg freezing, adoption, and childcare

Experience Requirements:

• Have experience leading the architecture of projects, services, and teams.

• Have experience managing, deploying, and scaling infra in large-scale environments.

• Are a self-starter with the ability to work independently and solve complex problems. Prior founder or startup experience is a plus.

• Are open-minded to using state-of-the-art tools.

• Are well-versed in systems thinking.

Responsibilities:

• Report directly to our CEO and work closely with our Founding Engineer, Lead UX Designer, and CEO to architect and build backend systems that integrate state-of-the-art artificial intelligence to enable intelligence in our product.

• Lead architecture and implementation of our core infrastructure and sync systems.

• Build the backend for user-facing features that enable integrated, context-aware, and proactive personal knowledge assistance.

• Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.

• Improve observability, monitoring, and alerting so that we can most effectively respond to operational incidents.

Education Requirements:

• BS.c / BA in Computer science (or other relevant degrees), and at least 5 years of experience - Must

Experience Requirements:

• Experience with NodeJS - Must

• Experience with ReactJS, React hooks - Must

• Experience with distributed architecture, microservices, REST API - Must

• Experience in large scale data processing pipelines- must

Other Requirements:

• Experience with Typescript - advantage

• Experience in Java, Spring Framework - advantage

• Team player, willing to work in a dynamic startup environment (Agile)

Responsibilities:

• Add capabilities to our applications framework, which will allow better flexibility for application development.

• Enhance our SDK so we can build custom applications more easily.

• In addition, you will add new components to our UI system, create widgets for our custom dashboard, and work with our core teams for additional features.

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.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Design, test, and refine LLM prompts to optimize response quality, consistency, and accuracy.

• Experiment with prompt structures, context injection, and retrieval-augmented generation (RAG) to improve model outputs.

• Develop prompt evaluation frameworks, incorporating quantitative and qualitative assessments.

• Analyze AI responses for hallucinations, biases, inconsistencies, and improve prompt structures accordingly.

• Collaborate with AI engineers, product managers, and UX designers to align AI-generated outputs with business and user needs.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Own the end-to-end LLM pipeline, ensuring scalability, maintainability, and documentation.

• Design and optimize LLM inference pipelines for production, ensuring scalability and reliability.

• Profile and optimize model performance based on speed, cost, and compute resource utilization.

• Work with cloud-based AI services (AWS, GCP, Azure) to manage compute resources efficiently.

• Monitor and log model performance, identifying areas for optimization.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Develop and execute AI model evaluation strategies, ensuring accuracy, consistency, and fairness.

• Implement automated and manual testing for LLM-based applications.

• Collaborate with the AI Engineer to integrate testing into early-stage development.

• Build and manage test datasets, ensuring high-quality, diverse, and balanced samples.

• Develop synthetic data pipelines to enhance model evaluation.

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Design and implement large-scale features across both front-end and back-end systems

• Collaborate with product managers, designers, and engineers to translate business requirements into effective solutions

• Write high-quality, maintainable code that meets industry best practices

• Troubleshoot and resolve issues to ensure a seamless user experience

• Build and maintain scalable web applications using React and Node.js

Benefits:

• Stock options (based on seniority level)

• Learning and development

• Health, dental, and vision insurance

• Paid time off

• Paid parental leave Wellness Coverage Referral bonus program

Responsibilities:

• Contribute to our existing Data Infrastructure

• Design and implement scalable data pipelines and ETL processes

• Participate in Data Warehouse creation and maintenance

• Develop data interfaces for downstream users

• Optimize existing data pipelines

Education Requirements:

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field.

Experience Requirements:

• Proven experience in technical consulting, implementation, or deployment roles within the SaaS industry.

• Strong understanding of software deployment methodologies, system integration, and configuration best practices.

• Experience working with customer support tools such as ZenDesk, SalesForce, Shopify, or similar platforms is preferred but not essential.

Responsibilities:

• Lead the installation, configuration, and deployment of our solution according to client specifications and project timelines.

• Conduct thorough assessments of client systems, workflows, and integrations to ensure seamless integration with our platform.

• Work closely with clients to provide guidance, training, and support during the implementation process, ensuring a smooth transition and adoption of our solution.

• Troubleshoot technical issues and resolve challenges encountered during the implementation phase, escalating to internal teams as needed.

Experience Requirements:

• 0 - 2 years

Responsibilities:

• Install and configure Linux Systems

• Work on Kubernetes cluster creation and management

• Assist developers to setup their Kubernetes environment

• Responsible for containerizing applications

• Perform system maintenance Create system backups Monitor system performance Monitor running services on system Experience of installing any web server or maintenance of web server Experience of handling any publicly accessible server (application that is hosted on this server) Provide technical support and guidance Maintain security and compliance for our infrastructure within the parameters set forth by our security team Troubleshoot and resolve issues related to our technologies Automate tasks that will increase the efficiency and velocity of our daily workflow

Experience Requirements:

• 2-5 years

Responsibilities:

• Design, develop, and maintain scalable full-stack applications

• Develop robust back-end services and APIs using Python frameworks like Django (DRF), FastAPI good to have

• Implement and manage databases including MySQL, PostgreSQL, or MongoDB

• Basic front-end collaboration: Work alongside UX team to implement designs in React, ensuring the final product matches our vision

• Design user-centric interfaces: Create visually appealing and highly functional user interfaces that enhance the user experience Collaborate with cross-functional teams: Work with product managers, developers, and other stakeholders to understand project requirements and translate them into design solutions Prototyping & wireframing: Develop wireframes, prototypes, and mockups to communicate design concepts effectively with the help of UX team Design system management: Contribute to and maintain our design system to ensure consistency across product. User research: Conduct user research and testing to gather feedback and iterate on designs for continuous improvement Optimize applications for maximum performance, scalability, and security Write clean, maintainable, and well-documented code Troubleshoot, debug, and enhance existing systems

Experience Requirements:

• 2 – 4 years

Responsibilities:

• Design, develop, and execute test cases for functional, integration, and regression testing

• Design and develop the test automation framework Constantly evaluate the test automation strategy and approach to identify areas of improvement (i.e., test automation frameworks, coding standards, etc.) Build and maintain efficient test frameworks and pipelines for performance, stress, and integration tests Closely coordinate with the delivery team and share detailed test reports, communicate test progress, risks, including defect reports and test execution summaries Govern the adherence to the quality practices and address any impediments Designing methods for the creation of effective test data Identify what tools and technologies can be implemented, aligning with that already used across the broader development function and in-line with the skillset of the team Possess broad awareness of testing approaches, practices, and techniques to help design and deliver the overall testing methodology used by the team Perform usability testing to evaluate the user experience of the application Participate in planning, grooming, and review meetings and ensure adherence to QA best practices and contribute to continuous improvement initiatives