Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience Requirements:

• 2-5+ years of experience in backend development, focusing on infrastructure, user data handling, and supporting high concurrent user access.

Responsibilities:

• Design, develop, and maintain infrastructure that handles user data properly and supports high concurrent user access.

• Work with cross-functional teams to understand requirements for game interactions and provide system and infrastructure solutions that enhance user experience.

• Optimize system architecture for high performance and scalability, employing best practices in caching, load balancing, and data management.

• Monitor system performance, identify bottlenecks, and resolve infrastructure issues promptly.

Education Requirements:

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Responsibilities:

• Assist with developing and maintaining scalable, efficient AI tools and infrastructure.

• Collaborate with engineering and research teams to understand project requirements and support agent functionality.

Benefits:

• Flexible Work – Hybrid or fully remote options based on your location

• Team Gatherings – Annual company events and team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Experience Requirements:

• 5+ years of iOS development experience

• Strong skills in Swift and Objective-C

• Experience with RESTful APIs and networking technologies (especially VPNs)

• Knowledge of Agile development (Scrum)

• Experience with CI/CD, test automation, and TDD

Other Requirements:

• Familiarity with the AWS stack

• Strong technical design and solution architecture skills

• Fluent English (spoken and written) for collaboration in an international team

• Experience building libraries and SDKs for third-party use

• Knowledge of core OS functionalities and networking APIs

Responsibilities:

• Develop a new iOS product that secures internet traffic using advanced VPN technologies

• Improve and maintain an existing product that integrates third-party libraries

• Build automated testing systems to ensure reliability and performance

• Work on CI/CD pipelines to streamline deployment and delivery

Benefits:

• Flexible Work – Hybrid or fully remote options based on your location

• Team Gatherings – Annual company events and team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Education Requirements:

• BS+ in Mathematics, Economics, Computer Science, Information Management or Statistics

Experience Requirements:

• 3+ years of experience with SQL

• 2+ years of experience with Python (Pandas)

• 3+ years working as a Data Analyst, handling large-scale data and defining KPIs

• Experience in automating analytics processes for large datasets

• Hands-on experience with data visualization tools for dashboard creation

Other Requirements:

• Strong statistical analysis skills for meaningful insights and presentations

• Ability to analyze and troubleshoot system issues

• Good knowledge of MS Office (Excel, PowerPoint)

• Fluent English (spoken and written) for collaboration in an international team

• Knowledge of networking technologies (IP networking, OSI layers)

• Experience with Wireshark for network data analysis

• Familiarity with cloud environments (AWS – Athena, S3)

• Experience with Git, Docker, and software development infrastructure

• Interest in new technology and inventions

Responsibilities:

• Analyze system performance and generate actionable insights for internal teams and customers.

• Investigate error scenarios to identify trends and potential system improvements.

• Take ownership of data quality by working closely with development, data engineering, and research teams.

• Optimize performance, improve tools, and refine AI algorithms through data labeling and trend analysis.

• Develop dashboards and automated analytics to visualize key metrics and track performance.

Benefits:

• Flexible Work – Hybrid or fully remote options based on your location

• Team Gatherings – Annual company events and team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Experience Requirements:

• Experience working with WiFi drivers (e.g., Broadcom, MediaTek, Qualcomm)

• Strong understanding of embedded Linux build systems (such as OpenWRT, Buildroot, Yocto)

• Hands-on experience with Linux userspace applications

• Proficiency in C99, with exposure to Lua plugins and Rust components

• Experience with CI/CD pipelines using Jenkins

Other Requirements:

• Strong scripting skills in Shell scripting and Pytest

• Fluency in English (spoken and written) for effective communication with our international team

• Previous experience designing automated testing infrastructure for WiFi solutions

• Expertise in porting WiFi-related software to different customer environments

Responsibilities:

• Develop and optimize CUJO’s WiFi Data Agent, which collects and processes WiFi data from various networking chipsets.

• Extend and enhance OpenWRT-based gateway solutions to improve performance and security.

• Port the WiFi Data Agent to different customer environments, ensuring seamless integration.

• Design and implement automated testing infrastructure to validate WiFi solutions.

Benefits:

• medical

• dental

• vision

• PTO

• 401(k) plan

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 4+ years of relevant experience

Experience Requirements:

• 4+ years of relevant experience in developing and scaling production systems

Other Requirements:

• Skills in programming in Bash, Python, C, and C++

• Knowledge of Rust

• Familiarity with CMake, Kubernetes, and cloud platforms such as AWS or Azure

Responsibilities:

• Building key products and enterprise solutions

• Developing user-oriented code and documentation

• Working with the research team to materialize innovations into products

Benefits:

• medical

• dental

• vision

• PTO

• 401(k) plan

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 4+ years of relevant experience

Experience Requirements:

• 4+ years of hands-on experience developing full-stack web applications

Other Requirements:

• Experience building and managing full-stack applications from the ground up

• TypeScript/Python production experience, API design, database optimization (PostgreSQL/MySQL), security best practices and authentication systems, React/NextJS

• Strong product intuition and technical leadership skills

Responsibilities:

• Building enterprise-grade products

• Crafting key products and enterprise solutions

• Delivering intuitive and delightful experiences for technologies

Benefits:

• medical

• dental

• vision

• PTO

• 401(k) plan

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or related field

• 3+ years of relevant experience (Research Engineer)

• 4+ years of relevant experience (Software Engineer - Fullstack/Product, Software Engineer - Infrastructure)

Experience Requirements:

• Proven track record in high-performance computing (Research Engineer)

• 4+ years of hands-on experience developing full-stack web applications (Software Engineer - Fullstack/Product)

• 4+ years of relevant experience in developing and scaling production systems (Software Engineer - Infrastructure)

Other Requirements:

• Experience developing with CUDA, HIP, DPC++, or SYCL (Research Engineer)

• Skills in programming in C, C++, and Python (Research Engineer)

• Experience in open-source contributions, early-stage startups, or as a founder (Research Engineer)

• Experience building and managing full-stack applications (Software Engineer - Fullstack/Product)

• TypeScript/Python production experience, API design, database optimization (PostgreSQL/MySQL), security best practices and authentication systems, React/NextJS (Software Engineer - Fullstack/Product)

• Strong product intuition and technical leadership skills (Software Engineer - Fullstack/Product)

• Skills in programming in Bash, Python, C, and C++ (Software Engineer - Infrastructure)

• Knowledge of Rust (Software Engineer - Infrastructure)

• Familiarity with CMake, Kubernetes, and cloud platforms such as AWS or Azure (Software Engineer - Infrastructure)

Responsibilities:

• Contributing to the design and development of algorithms and GPU kernels for inference and training (Research Engineer)

• Researching new applications for LLMs (Research Engineer)

• Building enterprise-grade products (Software Engineer - Fullstack/Product)

• Crafting key products and enterprise solutions (Software Engineer - Fullstack/Product)

• Delivering intuitive and delightful experiences for technologies (Software Engineer - Fullstack/Product)

Education Requirements:

• An Engineering degree/diploma in CS/EE or a related field

Experience Requirements:

• Proven Experience in hardware & software installation and configuration in the recent past

Other Requirements:

• Able to work independently and get solutions in different environments

• Able to identify missing integrations, environmental issues and raise it with stakeholders

• Able to identify issues proactively and not wait for customers to report the issues

• Passionate about automation and ability to automate as many workflows as possible

• Familiarity with Linux, Networking and Administration, Configuration (3+ years)

• Familiarity with hardware as well as software deployments (3+ years)

• Prior experience on physical security systems (2+ years)

• Experience with Kubernetes (2+ years)

Responsibilities:

• Install and Configure the Client Computer Systems, NVR/VMS systems and Camera/Speaker modules based on the listed recommendations

• Familiarity with Linux Networking commands, Shell Script, VMS/NVR systems and Ansible+Jenkins

• Document and Keep track of all the tenants, installed modules (hardware, software) and 3rd party Systems

• Deploy new tenants as well as any incremental hardware/software upgrades for the customers

• Diagnose Software, Hardware or Networking Issues and mitigate ASAP

Benefits:

• Competitive salary and equity options

• Health, dental, and vision insurance

• Flexible work arrangements

• Opportunities for learning, growth, and professional development

Experience Requirements:

• 3-5 years of experience in customer success, account management, or a similar role, preferably in SaaS or AI-driven technology

Other Requirements:

• Familiarity with AI, security systems, or surveillance technology is a plus. Ability to work with NVR systems, cameras, and related technical setups is beneficial.

• Experience with Asana, Google Sheets, Slack, and other project tracking tools

• Background in physical security or SaaS solutions is highly desirable

• Start Up Experience is a huge plus

Responsibilities:

• Customer Onboarding

• Account Management

• Customer Advocacy

• Performance Monitoring

• Retention & Growth

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• BSc in Computer Science, Mathematics or similar field; Master’s or Ph.D. degree is a plus

Experience Requirements:

• 5+ years of professional experience designing, training, and deploying machine learning models

Responsibilities:

• Design and train new production-ready machine learning models

• Collect, process and analyze data

• Analyze and improve existing models

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science or comparable fields

Experience Requirements:

• 4+ years of professional software engineering experience

Responsibilities:

• Design and implement core LLMs tuning and inference on Kubernetes

• Deep understanding of complex distributed systems

• Build complex system features to solve customer problems

• Collaborate with ML & app engineers and product managers on platform features

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

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

Responsibilities:

• Design and implement robust software deployment processes for delivering high-quality platforms to enterprise customers

• Maintain and enhance internal ML infrastructure

• Diagnose and resolve issues related to deploying Lamini Platform in customer on-prem environments

• Collaborate with data center vendors to manage GPU servers

• Partner with cross-functional teams to ensure reliability and scalability are embedded in the design of new features and services

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor’s degree in Computer Science, IT, Electrical Engineering, or a related field, or equivalent hands-on experience

Experience Requirements:

• 2+ years of experience in a data center environment

Responsibilities:

• Oversee day-to-day operations of our GPU cluster

• Assist with the deployment, configuration, and calibration of GPU servers

• Implement and support hardware upgrades

• Continuously monitor system performance

• Quickly diagnose and resolve hardware and network issues, coordinating with team members to minimize disruptions

Benefits:

• Competitive base salary

• Equity

• Benefits

Education Requirements:

• Bachelor's degree in Computer Science or related field

Experience Requirements:

• 3+ years of experience with deep learning models in production

• 2+ years of experience in a customer-facing role

Other Requirements:

• Designed novel and innovative solutions for technical platforms in a developing business area

• Strong technical aptitude to partner with engineers and proficiency in software engineering

• Ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders

Responsibilities:

• Act as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform

• Partner closely with account executives to understand customer requirements

• Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure

• Support customer onboarding by working cross-functionally to ensure successful ramp and adoption

• Travel occasionally to customer sites for workshops, implementation support, and building relationships

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• B.A.S. in Computer Science or equivalent experience

Experience Requirements:

• 5+ years of industry experience

Other Requirements:

• Experience building/consuming RESTful and gRPC based web-services

• Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)

• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow

• Experience writing highly performant service in a modern typed language

• Experience configuring and maintaining CI/CD pipelines and automated testing

Responsibilities:

• Work cross functionally with product, data science, data platform and ML researchers

• Identify, design and implement the applied ML infra

• Lead implementation of our ML backend systems

• Support scaling our existing systems