• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

As a Senior Software Engineer, you’ll:

You will be responsible for building the "brain" of Weka’s main product, which is a distributed file system —the layer that manages orchestration, metadata, cluster membership, and implements complex logic required to manage hundreds of thousands of nodes, for cluster scaling, automated failover, zero-downtime rolling upgrades and "self-healing" to detect and remediate hardware failures or network partitions.

• Design, implement, unit test, and maintain services that coordinate and the cluster 
• Optimize Performance: Work with complex data structures like spanning trees  or LSM-Trees, concurrency control mechanisms (MVCC) to improve speed and efficiency.
• Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact

Requirements:

• Ownership mindset, self-direction, and a passion for solving complex problems.
• 5 year experience in systems programming, preferably C/C++
• Proven experience building complex, high-performance distributed systems such as databases, file systems, or distributed data platforms, at scale
• Strong distributed troubleshooting and incident resolution skills.

It's nice if you have:

• Experience with Rust/ Go
• Experience with NGINX/Envoy and general background in networking concepts 
• Experience working with K8s 
• Experience with distributed consensus protocols (such as  Raft or Paxos)

The WEKA Way:

• We are Accountable: We take full ownership, always– even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKAsets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

Requirements:

We are seeking a Director of Engineering - AI Inferences to spearhead our AI Inference team. In this role, you will bridge the gap between complex research and production-grade engineering. You will lead a tight-knit squad of 3 developers while remaining "hands-on-keyboard," architecting high-performance systems that optimize Large Language Model (LLM) serving.

The ideal candidate is deeply invested in inference and scale ,and the evolving ecosystem of serving frameworks like vLLM and LMCache.

Responsibilities include:

• Technical Leadership: Architect and oversee the deployment of high-throughput, low-latency LLM inference pipelines.
• Team Management: Mentor and lead a small team of developers, conducting code reviews, sprint planning, and technical career coaching.
• Inference Optimization: Implement and evaluate state-of-the-art KV cache management solutions, including LMCache, and explore alternatives to minimize redundant computation.
• Framework Mastery: Deeply integrate and optimize serving engines such as vLLM, LLM-d, and NIXL to maximize hardware utilization.
• R&D: Stay at the forefront of the "Inference-as-a-Service" domain, benchmarking new tools and deciding when to pivot the stack.

• AI Inference Domain: Proven experience with KV cache reuse, speculative decoding, and continuous batching.
• Specific Stack: Deep familiarity with vLLM, LMCache, and NIXL. Understanding the trade-offs between centralized vs. distributed caching.
• Backend Engineering: Expertise in Python, C++, or Rust, with a strong grasp of CUDA and GPU memory management.

• Infrastructure: Experience with Kubernetes (K8s) for scaling GPU workloads and optimizing cold-start times.

 The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

USA Residents Only: The Total Compensation hiring wage range for this position which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law. In addition, the position may include some of the following comprehensive benefits such Medical, Dental, Vision, Life, 401(K), Flexible Time off (FTO), sick time, leave of absence as per the FMLA and other relevant leave laws.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the Weka solution – our customers’ data.

As a Senior Software Engineer, you’ll:

• Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
• Participate in the design, architecture, and implementation of next-generation storage architecture;
• Assist in technically managing initial storage implementations including proofs-of-concept;
• Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance; 
• Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
• Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

Requirements

• Mastery of low-level and performant programming in C or C++/ Rust
• A thorough understanding of concurrency, inter-process communication, threading models, and synchronization concepts, including significant experience with complex multithreaded software design
• Experience identifying, reproducing, and resolving complex software defects, including root cause isolation, tracing through large source codebases, and implementing long-term fixes as well as short-term workarounds
• 5+ years of hands-on experience with Linux development and debugging, along with a broad knowledge and understanding of Linux internals

It's nice if you have:

• Experience in data-path design and development
• Experience with development of highly-distributed systems
• Deep familiarity with concepts and features from the storage industry, including snapshots, replication, transparent data migration, and data reduction techniques
• Experience with ZFS, XFS, or other file systems or with enterprise storage solutions
• Experience working with the Linux filesystem community
• Contribution, upstreaming, or maintaining of filesystem code
• Experience playing a significant role in the implementation of a concurrent, long-running performant server

The WEKA Way:

• We are Accountable: We take full ownership, always– even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKAsets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

Requirements:

We are seeking a Technical Lead - AI Inferences to spearhead our AI Inference team. In this role, you will bridge the gap between complex research and production-grade engineering. You will lead a tight-knit squad of 3 developers while remaining "hands-on-keyboard," architecting high-performance systems that optimize Large Language Model (LLM) serving.

The ideal candidate is deeply invested in inference and scale ,and the evolving ecosystem of serving frameworks like vLLM and LMCache.

Responsibilities include:

• Technical Leadership: Architect and oversee the deployment of high-throughput, low-latency LLM inference pipelines.
• Team Management: Mentor and lead a small team of developers, conducting code reviews, sprint planning, and technical career coaching.
• Inference Optimization: Implement and evaluate state-of-the-art KV cache management solutions, including LMCache, and explore alternatives to minimize redundant computation.
• Framework Mastery: Deeply integrate and optimize serving engines such as vLLM, LLM-d, and NIXL to maximize hardware utilization.
• R&D: Stay at the forefront of the "Inference-as-a-Service" domain, benchmarking new tools and deciding when to pivot the stack.

• AI Inference Domain: Proven experience with KV cache reuse, speculative decoding, and continuous batching.
• Specific Stack: Deep familiarity with vLLM, LMCache, and NIXL. Understanding the trade-offs between centralized vs. distributed caching.
• Backend Engineering: Expertise in Python, C++, or Rust, with a strong grasp of CUDA and GPU memory management.

• Infrastructure: Experience with Kubernetes (K8s) for scaling GPU workloads and optimizing cold-start times.

 The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

USA Residents Only: The Total Compensation hiring wage range for this position which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations. Final compensation will be dependent on various factors relevant to the position and candidate such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skillset and other relevant business and organizational factors, consistent with applicable law. In addition, the position may include some of the following comprehensive benefits such Medical, Dental, Vision, Life, 401(K), Flexible Time off (FTO), sick time, leave of absence as per the FMLA and other relevant leave laws.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you’ll be doing:

As a Senior Software Engineer, you'll be an integral part of our Platform Group—a hands-on team of seasoned engineers responsible for building and optimizing the critical low-level components that power our infrastructure. This includes the networking stack, storage systems, task scheduling framework, and other foundational systems.

As a Senior Software Engineer, you’ll: 

• Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
• Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
• Challenge our benchmarks with performance testing around IO and storage throughput.

Requirements

• Mastery of low-level C/C++ development in Linux user space or kernel-space with a vast experience in performance-sensitive code
• Extensive experience with networking concepts and protocols, including UDP, TCP, InfiniBand, Ethernet, and RDMA.
• 10+ years of hands-on experience with software development on Linux based systems
• Experience working on complex and large-scale and/or distributed systems

It's nice if you have:

• Experience with DPDK, eBPF/XDP and libfabric
• Knowledge of storage systems and SSDs (SPDK)
• Prior involvement with deep networking (congestion control, bonding, VLAN, InfiniBand)
• Kernel driver development know-how
• Familiarity with storage concepts (SMB, NFS, S3, SSD, NVMe, Linux filesystems).
• Experience with the development of highly-distributed systems.
• Experience with memory management concepts and entities in a multiprocessing system (cache, shared memory, numa, huge pages etc.)

The WEKA Way:

• We are Accountable: We take full ownership, always– even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you’ll be doing:

As our new Senior Software Engineer, you’ll be joining the Platform group. This group of highly experienced and detail-oriented engineers proudly owns the network stack, storage stack, task scheduling infrastructure, and more.

As a Senior Software Engineer, you’ll: 

• Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code reviews;
• Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
• Challenge our benchmarks with performance testing around IO and storage throughput.

Requirements

• Mastery of low-level C/C++ development in Linux user space or kernel space with vast experience in performance-sensitive code
• 5+ years of hands-on experience with software development on Linux-based systems
• Familiarity with network concepts and protocols (UDP, TCP, InfiniBand, Ethernet, RDMA).

It's nice if you have:

• Experience with DPDK and SPDK
• Knowledge of storage systems and SSDs
• Kernel driver development know-how
• Previous experience with hardware interfaces
• Prior involvement with deep networking (congestion control, bonding, VLAN, InfiniBand)
• Familiarity with storage concepts (SMB, NFS, S3, SSD, NVMe, Linux filesystems).
• Experience with the development of highly distributed systems.
• Experience with memory management concepts and entities in a multiprocessing system (cache, shared memory, Numa, etc.)
• Experience working on complex and large-scale and/or distributed systems, databases, or others

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal-opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

As a Senior/Staff Kernel Engineer at Weka, your primary responsibility will be collaborating with other team members on our high-performance filesystem solution and releasing our kernel driver, which is written in C on top of Linux, as part of the Weka filesystem product. 

The kernel-based filesystem driver provides file access and logic to Weka filesystems and the ability to connect clients to the Weka cluster. This enables the Weka system to provide applications with local filesystem semantics and performance while providing centrally-managed, shareable, and resilient storage. 

Our entire kernel team proudly delivers high-quality kernel drivers and you will have the opportunity to quickly become an integral contributor.

As a Senior Kernel Engineer, you’ll:

• Design and develop core product features in a complex software system with a focus on Linux kernel and OS infrastructure layers
• Provide architectural guidance and fresh ideas in our core kernel driver and related interfaces
• Locate performance bottlenecks within Linux and/or its driver or other components, and suggest & implement enhancements to meet target performance goals

Most importantly, assume nothing - constantly revisit how we work and whether our productivity is perfectly tuned

Requirements 

• 10+ years of hands-on experience in Linux kernel development and debugging
• Master of low-level C development in Linux kernel, with vast experience in performance-sensitive code and a solid understanding of the VFS, page cache & file system concepts
• Familiarity with kernel development methodologies and kernel structure, as well as experience in developing kernel modules
• Top-notch experience in the Linux Kernel Driver model & development
• Lock/lockless synchronization between kernel space & userspace
• Broad knowledge and understanding in Linux internals, kernel subsystems (Memory Management, IO, Storage, Networking), and kernel crash and core analysis skills
• Knowledge of IO tools and performance benchmarks using standard tools
• A deep understanding of threading and locking mechanisms
• A highly motivated and independent engineer with a positive attitude, a creative and open mind, and fluency in English.

It's nice if you have:

• A background in working with the Linux kernel community
• Experience contributing/up-streaming/maintaining kernel code
• Knowledge of storage subsystems, storage stack, and protocols (NVMe, NFS, Samba, filesystems), along with development experience with enterprise-grade storage solutions 
• Experience hacking complex open-source projects

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the Weka solution – our customers’ data.

As a Senior Software Engineer, you’ll:

• Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
• Participate in the design, architecture, and implementation of next-generation storage architecture;
• Assist in technically managing initial storage implementations including proofs-of-concept;
• Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance; 
• Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
• Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

Requirements

• Over 10 years of expertise in low-level, high-performance programming using C, C++, and Rust.
• A thorough understanding of concurrency, inter-process communication, threading models, and synchronization concepts, including significant experience with complex multithreaded software design
• Experience identifying, reproducing, and resolving complex software defects, including root cause isolation, tracing through large source codebases, and implementing long-term fixes as well as short-term workarounds
• 10+ years of hands-on experience with Linux development and debugging, along with a broad knowledge and understanding of Linux internals

It's nice if you have:

• Experience in data-path design and development
• Experience with development of highly-distributed systems
• Deep familiarity with concepts and features from the storage industry, including snapshots, replication, transparent data migration, and data reduction techniques
• Experience with ZFS, XFS, or other file systems or with enterprise storage solutions
• Experience working with the Linux filesystem community
• Contribution, upstreaming, or maintaining of filesystem code
• Experience playing a significant role in the implementation of a concurrent, long-running performant server

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.