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We are growing and our Principal R&D Engineer position is a unique career opportunity that could be your next step towards an exciting future. This role will sit within the Innovalve team, as part of our transcatheter mitral and tricuspid therapies (TMTT) product group. This role offers an exciting opportunity to contribute to the development of innovative delivery systems that will revolutionize the treatment of cardiovascular diseases.
How you will make an impact: 
Lead and execute pre-clinical activities for Innovalve TMVR systems, including simulated-use, design validation, and human factors evaluations
Develop and refine procedural techniques and device handling methods to improve ease of use, safety, and clinical outcomes
Participate in Innovalve clinical trials worldwide, assist physicians during procedure, device preparation, and provide your expertise during cases to improve patient outcome and device success.
Support in the design and development of the product, through experience gained in clinical and pre-clinical trials, empowering device performance.
Collaborating with Health care provider (HCPs) & Key opinion leaders (KOLs) in developing new SHD devices and procedures
Collaborating with imaging companies to develop and accommodate device
and procedure requirements in structural heart field to enhance current and future products performance.

We are growing and our Principal Mechanical Engineer position is a unique career opportunity that could be your next step towards an exciting future. This role will sit within the Innovalve team, as part of our transcatheter mitral and tricuspid therapies (TMTT) product group.
This role offers an exciting opportunity to be part of the valve R&D team and contribute to the development of a novel device that will revolutionize the treatment of cardiovascular diseases.
How you will make an impact:
As an engineer in the valve R&D team, you will provide expertise in design, optimization and testing of the Innovalve heart valve implant as part of the product development
Manage current development and production efforts of current system running through EFS and IDE clinical studies
Concept Development: Collaborate with cross-functional teams to brainstorm, evaluate, and find new innovative design concepts
Design and Development: Design, analyse, and develop components and processes that meet stringent quality, performance, and regulatory requirements.
Problem-Solving: Identify and troubleshoot complex technical issues that arise during development and clinical trials.
Testing and Validation: Conduct rigorous testing and validation activities, including R&D testing, Design Verification (DV) testing, and clinical trial support.
Engineering Change Orders (ECOs): Initiate and manage ECOs to implement design changes and improvements.
Manufacturing Support: Collaborate with manufacturing engineering to ensure seamless transition of designs into production.
Custom Solutions: Develop tailored solutions for unique design challenges and clinical requirements.

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.
You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.
This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.
Key Responsibilities
Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing

Required Product Manager - Storage Networking Platform
The Role
This is a rare opportunity to:
Have a direct impact on AI performance and GPU efficiency at scale
Combine deep technical thinking with product ownership
Own product decisions that influence real-world system behavior
As a Product Manager, you will define how next-generation AI workloads interact with high-performance storage and networking systems.
This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.
Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.
What You'll Do:
Define and execute product strategy for our platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges.

As Global Privacy & Compliance Counsel, you will serve as the in-house owner and go-to expert for all privacy and compliance matters.

This is a highly cross-functional role, working as part of the Legal & Compliance team, closely with Sales, Product, R&D, CS & Security teams.

The role is designed for someone who can operate independently, proactively identify gaps, extract and organize knowledge across teams, and translate complex privacy/data, compliance and regulatory requirements into practical solutions that support business execution and accelerate deals.

The position requires an in-house and business-oriented mindset, strong ownership, and the ability to lead initiatives end to end.

This role offers a unique opportunity to shape and lead privacy and compliance frameworks in a fast-growing global organization, with real impact on business outcomes, customer trust, and long-term scalability.

Key Responsibilities:
Own and manage the companys global privacy and compliance framework, including policies, templates, processes, and ongoing updates
Serve as an expert on all privacy/date compliance requirements, and regulatory framework
Review, draft, and negotiate privacy-related agreements with customers and vendors
Work closely with Product, R&D, Data, R&D, CS & Security teams to understand data flows and systems
Provide day-to-day privacy and regulatory compliance support to Sales and customer-facing teams
Enable faster deal execution by offering pragmatic, risk-aware solutions
Support negotiations with customers and partners on privacy and data protection topics
Drive the organization toward increased compliance maturity and long-term readiness
Build scalable processes that support growth while maintaining strong compliance standards

Required Software Engineer - Verification and Reliability
The Mission
We are building NeuralMesh- the worlds first intelligent, adaptive mesh storage system. To ensure our platform is unbreakable for the worlds largest AI and GPU clusters, we don't just "test" our code. We build an adversarial distributed system as complex and sophisticated as the product itself.
We are moving away from traditional QA automation. We are building a high-octane engineering force that treats reliability as a high-end software problem. We need "Quality Hackers" who want to build the technology that proves bugs don't exist.
In this role as a Software Engineer in Test (SET), you are a developer first. You will join a high-impact team of engineers who write production-grade code to build a massive-scale validation ecosystem. Your job is to act as "The Breaker"-designing the infrastructure, chaos experiments, and AI-driven tools that push our platform to its theoretical limits.
What Youll Build:
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.

We are looking for a hands-on, business-minded AI Engineer to join our Data & AI Team.
This role is for someone who has already built and shipped real AI products in a company environment. You will work as an integral part of the Data & AI Team, partnering directly with business stakeholders to identify high-impact opportunities, translate business needs into technical solutions, and build AI products that automate internal processes and create immediate value.
The ideal candidate is a builder. You should be comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, data warehouses, and internal company systems. You should also be comfortable taking ownership, asking sharp business questions, and moving ideas from concept to production.
Our Data Team has already built internal AI products at our company. Now we are looking for someone who can help take us to the next level.
What Were Looking For
The right person has built with AI in a real company environment and knows how to turn business needs into practical internal products. They should be comfortable working with stakeholders, understanding how teams operate, and identifying where AI can create meaningful value.
Because this role sits inside the Data & AI Team, they also need to be strong with data. That means working confidently with company data, data warehouses, pipelines, APIs, and the technical building blocks that make AI products reliable and useful.
This role is for someone hands-on, curious, and hungry to build. Someone who can combine AI, data, and business context to help us move faster, automate smarter, and turn ideas into measurable business wins.
What Youll Do
Build end-to-end internal AI products, automations, agents, and workflows that solve real business problems across our company.
Work directly with business stakeholders to understand pain points, define requirements, and turn ideas into scalable AI-driven solutions.
Design, prototype, test, deploy, and maintain production AI products using LLMs, AI agents, APIs, automation frameworks, and internal company data.
Work hands-on with data tools and infrastructure, including Snowflake, ETLs, data pipelines, APIs, AI tools, and internal servers.
Identify high-impact manual processes and turn them into automated AI-driven business wins.
Evaluate new AI tools, frameworks, and agentic workflows, and apply them where they can improve productivity, decision-making, or business operations.
Help shape internal AI development best practices around reliability, usability, security, documentation, maintainability, and production readiness.

Required Senior Software Engineer, Filesystem
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 solution - our customers data.
As a Senior Software Engineer, youll:
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.