Benefits:

• Challenging projects

• Friendly and inclusive workplace culture

• Competitive compensation

• Great benefits package

Experience Requirements:

• 7+ years of experience with Linux internals and kernel-level development

• Deep understanding of the TCP/IP stack

• Proficiency in C/C++ for low-level systems programming

• Hands-on experience with eBPF tooling such as bcc and libbpf

• Ability to reason about performance, memory safety, and concurrency

Other Requirements:

• Experience integrating eBPF-based telemetry (Bonus)

• Familiarity with metrics, tracing, or profiling pipelines (Bonus)

Responsibilities:

• Design and implement kernel-level observability and control using eBPF

• Build high-performance networking sensors

• Work deeply with Linux kernel internals and networking subsystems

• Develop and optimize low-level C/C++ and eBPF programs

• Integrate eBPF-based telemetry into observability pipelines

Benefits:

• Challenging projects

• Friendly and inclusive workplace culture

• Competitive compensation

• Great benefits package

• Catered lunch

Education Requirements:

• Degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• 7+ years of Full-stack development experience

• Proficiency in TypeScript, HTML, Go, and Python

• Strong experience building custom data visualizations

• Hands-on experience with front-end frameworks (Vue, React)

• Experience with visualization libraries (D3.js, SVG)

Other Requirements:

• Strong interest in graphics, data visualization, and user experience

• Excellent debugging, problem-solving, and collaboration skills

• Familiarity with HPC, cloud, and container technologies (Bonus)

Responsibilities:

• Collaborate with engineering teams to design and implement interactive visualizations

• Develop front-end interfaces and back-end services

• Write clean, efficient, and maintainable code

• Continuously improve platform performance and usability

• Dive deep into how data pipelines and APIs support responsive graphics

Benefits:

• Challenging projects

• Friendly and inclusive workplace culture

• Competitive compensation

• Great benefits package

• Catered lunch

Experience Requirements:

• 5+ years of experience in systems, HPC, or performance-critical development

• Strong proficiency in low-level C/C++

• Solid understanding of RDMA networking (InfiniBand, RoCE, IBVerbs)

• Experience working with multi-node, multi-GPU workloads

• Familiarity with collective communication libraries

Other Requirements:

• Ability and willingness to debug complex hardware/software issues

• Experience with congestion control mechanisms (Bonus)

• Background in AI infrastructure or HPC clusters (Bonus)

Responsibilities:

• Build and optimize high-performance GPU and networking subsystems

• Work with collective communication libraries for multi-GPU workloads

• Debug performance issues across kernel, driver, GPU, and network layers

• Develop and improve GPU-aware networking solutions

• Profile, analyze, and tune system performance using low-level tools

Other Requirements:

• Authorized to work in the United States

Experience Requirements:

• Strong background in machine learning, reinforcement learning, or optimization

• Experience building and deploying ML systems in production

• Proficiency in Python and modern ML frameworks (PyTorch, JAX, etc.)

Other Requirements:

• Excellent communication skills and ability to work directly with customers

• Self-motivated with ability to thrive in an early-stage startup environment

• Experience with LLM prompt optimization or agent systems

• Publications in top ML venues (NeurIPS, ICML, ICLR, etc.)

• Experience with distributed systems and cloud infrastructure

Responsibilities:

• Design and implement optimization algorithms (RL, genetic algorithms, search-based methods) for agent systems

• Work directly with enterprise customers to understand their agent architectures and pain points

• Build evaluation frameworks and benchmarks to measure agent performance improvements

• Collaborate with the product team to translate research insights into scalable product features

• Publish technical blog posts and contribute to the broader AI community

Other Requirements:

• Legally authorized to work in the United States on a full-time basis

• Able to work in person at our San Francisco office

• Available to start between January and August 2026

Benefits:

• Opportunity to drive improvements through automation

• Engagement with 24/7 Production Operations team

Experience Requirements:

• Practical experience working with production systems

• Experience preferably within public cloud infrastructures

Other Requirements:

• Understanding of distributed system concepts

• Familiarity with Kubernetes

• Experience with CloudFormation or Terraform

• Proficient with Python programming

Responsibilities:

• Join a 24/7 Production Operations team

• Oversee staging and production uptime and reliability

• Lead incident management and response to outages

• Design and develop automation tools for triage

• Maintain and update runbooks

Benefits:

• Career growth through mentoring Staff Engineers

• Strategic impact at Engineering Director level

• AI-powered productivity innovation

• Opportunity to drive company-wide technical vision

• Inclusive work culture

Experience Requirements:

• Typically 18+ years of industry experience in Software Engineering

• Focus on Developer Platforms, Infrastructure, or Core Tools

Other Requirements:

• Expertise in Go, Java, C/C++, Scala, or Python

• Consensus Builder and Cross-Functional Leader

• Experience architecting and scaling highly available Developer Platforms

Responsibilities:

• Define long-term technical vision for Developer Platform

• Pioneer integration of AI/ML to drive company productivity

• Drive significant improvements in engineering velocity and quality

• Apply domain expertise across CI/CD, Observability, and Cloud Infrastructure

• Take end-to-end ownership of complex, cross-cutting projects

Benefits:

• Work on cutting-edge cloud security infrastructure

• Mentorship from distinguished engineers

• Meaningful impact on enterprise data protection

• Exposure to industry-leading security practices

• Positive, learning-focused team culture

Education Requirements:

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

Experience Requirements:

• 10+ years of software development experience

• Significant focus on cloud platforms and infrastructure

Other Requirements:

• Proficiency in infrastructure-as-code tools like Terraform

• Experience with Kubernetes and Docker

• Proficiency in Go, Python, Java, or Rust

• Knowledge of zero-trust networking principles

Responsibilities:

• Design secure, scalable cloud infrastructure and platform services

• Implement secure CI/CD pipelines and infrastructure-as-code

• Perform threat modeling for cloud services

• Lead secure system design and cloud architecture decisions

• Coach and mentor junior team members

Benefits:

• Dedicated mentorship program

• Regular learning sessions and tech talks

• Encouragement to attend security conferences

• Access to latest development tools

• Supportive environment for growth

Education Requirements:

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

Experience Requirements:

• 6-10 years of software development experience

Other Requirements:

• Understanding of systems programming and distributed systems

• Proficiency in Java, Python, Go, or C++

• Passion for security and cryptography

Responsibilities:

• Design and write code for high-quality software systems

• Identify attack surfaces and harden Rubrik products

• Collaborate with product managers and architects on requirements

• Review code and design documents for security concerns

• Participate in team meetings and knowledge sharing

Benefits:

• Freedom to exercise judgement in critical scenarios

• Transparent structure

• Motivation through ownership of projects

Education Requirements:

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

Experience Requirements:

• 2-6 years of experience in Design, Development and Debugging

Other Requirements:

• Strong C++ development skills

• Familiarity with Python and/or Scala

• Understanding of distributed systems and multi-threading

Responsibilities:

• Design, develop and maintain C++ software applications

• Troubleshoot complex software problems

• Collaborate with cross-functional teams for new features

• Write and maintain technical documentation

• Participate in code reviews

Benefits:

• Work on "Last Line of Defense" security platform

• Opportunity to secure cloud, SaaS, and on-prem data

Education Requirements:

• Computer Science graduate

Experience Requirements:

• 7-11 years of relevant experience in developing enterprise software

• 1-2+ years leading complex technical projects

Other Requirements:

• Expertise in building large-scale distributed systems

• Proficiency in Go and Scala

• Experience with Linux kernel and kernel debugging

• Strong proficiency in C++ and Java

Responsibilities:

• Design and deliver Threat Monitoring and Threat Hunt System

• Assess Linux system stack reliability and error handling

• Diagnose and resolve problems in complex customer environments

• Tackle complex technical or ambiguous problems

• Work across departments to deliver business-critical applications

Benefits:

• Impactful work on cloud-native protection systems

• Mentorship of junior team members

Education Requirements:

• Bachelor’s/Master’s degree in Computer Science or equivalent

Experience Requirements:

• 6+ years of experience in building scalable enterprise or cloud software

Other Requirements:

• Strong fundamentals in data structures and algorithms

• Proficiency in Java, Go, or Python

• Hands-on experience with AWS, Azure, or GCP

• Experience with Kubernetes and Docker

Responsibilities:

• Design and deliver cloud-native services for data protection

• Build protection for Kubernetes and SaaS applications

• Implement cloud-scale APIs and microservices

• Optimize performance and reliability of cloud systems

• Diagnose and resolve complex cloud and hybrid problems

Benefits:

• Opportunity to drive improvements through automation

• Engagement with 24/7 Production Operations team

Experience Requirements:

• Practical experience working with production systems

• Experience preferably within public cloud infrastructures

Other Requirements:

• Understanding of distributed system concepts

• Familiarity with Kubernetes

• Experience with CloudFormation or Terraform

• Proficient with Python programming

Responsibilities:

• Join a 24/7 Production Operations team

• Oversee staging and production uptime and reliability

• Lead incident management and response to outages

• Design and develop automation tools for triage

• Maintain and update runbooks

Benefits:

• Coaching, mentoring, and career development

• Impact on mission-critical platform reliability

Education Requirements:

• Degree in Computer Science or equivalent field

Experience Requirements:

• 12+ years of Software Development experience

• 3+ years in Engineering Management roles

Other Requirements:

• Experience hiring and building top talent teams

• Ability to work in EST timezone (4:00 PM – 1:00 AM IST)

• Track record of communicating with global stakeholders

Responsibilities:

• Lead Production Engineering team in EST timezone

• Own operational excellence for production environments

• Champion metrics-driven culture (MTTA/MTTR)

• Foster collaborative mindset with leadership

• Plan and manage on-call rotations and escalation models

Benefits:

• Startup culture within a established company

• Mentoring and coaching engineers

Education Requirements:

• Bachelor’s/Master’s in Computer Science or equivalent

Experience Requirements:

• 11+ years of experience in building large-scale distributed software

Other Requirements:

• Expertise in distributed systems and cloud-native design

• Deep expertise in Java, Go, or Python

• Experience with Kubernetes, Docker, and microservices

Responsibilities:

• Lead design of cloud-native services for backup and recovery

• Own end-to-end initiatives from architecture to production

• Guide engineers on distributed systems best practices

• Evaluate new technologies and frameworks

• Troubleshoot complex customer issues in hybrid deployments

Benefits:

• Private health insurance

• pension contributions

• Free lunch

• gym

• Curiosity allowance (books, learning, memberships)

Experience Requirements:

• 3+ years shipping real-world CV/3D systems beyond prototypes (robotics, inspection, metrology)

• Hands-on experience with depth sensing (stereo/RGB-D/ToF/structured light/laser profiling)

• Strong geometry fundamentals including coordinate frames and transforms

• Built calibration + validation tooling (repeatability tests, drift checks, confidence metrics)

• Strong fundamentals of programming in a team

Other Requirements:

• Comfortable debugging messy reality (reflective metal, smoke/spatter, lighting variation)

• Proven team player and clear communicator

• Willingness to work in-office 5 days a week

• Ability to travel to industry partners in US, UK, and Europe

Responsibilities:

• Sensor evaluation and integration

• Calibration and frame correctness

• Image registration (aligning RGBD, point-clouds, TSDFs to CAD models)

• Digital twin update + ML pipeline inputs

• Field robustness for deployment in industry partner cells

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Training budget

• 20 days of workation

• Flexible working hours

Experience Requirements:

• 8+ years of software engineering experience

• 3+ years in architecture or technical leadership roles

Other Requirements:

• Strong experience with distributed systems and cloud platforms

• Proficiency in backend languages (Python, Go, Node.js, or Java)

• Experience designing scalable APIs and microservices

• Hands-on experience with AI/ML systems and LLM integrations

• Deep understanding of system design, scalability, and reliability

Responsibilities:

• Lead the end-to-end architecture of an AI agentic multi-tenant platform

• Define scalable and modular system designs for agent runtimes and services

• Architect integrations with LLMs, embeddings, and vector stores

• Design frameworks for agent planning, reasoning, and tool execution

• Mentor engineers and conduct architecture reviews

Benefits:

• Competitive salaries

• Generous benefits package

Education Requirements:

• Bachelor’s Degree or higher in Electrical Engineering or Computer Science

Experience Requirements:

• 5+ years of experience

• Expertise in System BIOS (UEFI) Firmware development

• Experience with AMI/Insyde or EDK2 Firmware architecture

• End-to-end delivery of laptop or desktop design

• Solid understanding of low-level interfaces like I2C/SPI/PCIe/JTAG

Other Requirements:

• Excellent written and oral communication skills

• Good work ethics

• High sense of team-work

• Self-starter

• Commitment to finish tasks

Responsibilities:

• Designing, implementing, and delivering innovations for client products

• Working with a global team of BIOS developers

• Designing and developing performance optimized UEFI/BIOS solutions

• Instrumenting code to ensure maximum code coverage

• Providing software quality reports

Benefits:

• Equity

• Comprehensive benefits package

Education Requirements:

• BS/MS in Computer Science or Computer Engineering or Electrical Engineering

Experience Requirements:

• 5+ years of relevant work experience

• Strong software architecture, development, & testing experience

• Solid understanding of Linux

• Proficient in Python / Perl and version control systems

• Prior exposure to RAGs or agentic AI workflows

Other Requirements:

• Strong problem-solving abilities

• Passion for debugging

• Excellent communication and interpersonal skills

• Experience with complete CI/CD workflow

Responsibilities:

• Define and deploy AI and ML applications to aid chip design

• Collaborate with hardware chip design teams

• Architect and develop novel tools and user interfaces

• Stay on top of latest advancements in AI/ML technologies

• Troubleshoot and resolve critical technical obstacles