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We're looking for an Experienced Software engineer to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing us as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and implement the control plane that orchestrates distributed inference across cloud GPU infrastructure.
- Own backend systems responsible for job scheduling, SLA tracking, usage metering, tenancy, auth, and data coordination.
- Build robust APIs that glue together infra automation, ML workloads, and user-facing dashboards.
- Work across multiple cloud providers and BYOC environments-build systems that expect chaos and still work.
- Collaborate with infra, ML, and product teams to abstract complex infra flows into clean interfaces.
- Help define system architecture and lay the groundwork for a platform that adapts to varied customer deployments.

As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support our company's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique at our company
Clinical AI with real-world patient impact - our company operates in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety.
Highly sensitive healthcare data - You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability.
Security for AI/ML and medical imaging systems - The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows.
Complex healthcare integrations - our company integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations.
Engineering-driven security in a regulated environment - This is not a checkbox compliance role. However, because our company operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations.
Cloud-native scale and production ownership - You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls.
Responsibilities
Secure product and clinical workflows end-to-end - Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture - Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security - Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle - Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.

We're looking for a Founding DevOps Engineer to build our infrastructure DNA and the backbone of the Al revolution. You'll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for Al workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing us as a leader in adaptive Al compute management.
Join us to tackle the magic that make Al tick under the hood and build the backbone powering the Al revolution.
What You'll Do
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Architecture: Architect a modular, multi-cloud "Control Plane vs. Data Plane" model using Infrastructure as Code.
Infrastructure R&D: Research and implement cutting-edge solutions for GPU orchestration, low-latency networking, and automated cross-account (BYOC) provisioning.
The Kubernetes Frontier: Deep-dive into K8s internals to optimize LLM inference workloads. We'll design how we use Helm, GitOps processes, and specialized operators to manage state-of-the-art Al clusters.
Performance Engineering: Don't just monitor; optimize. You will research bottlenecks in the
stack - from networking connectivity limits to GPU memory throughput - and build the infrastructure to solve them.
Build the "Golden Path": Develop the internal tooling and automation that allows our Al researchers to move at lightning speed without worrying about the underlying hardware.

Were looking for a Staff Engineer to lead the design and development of central components within our companys R&D.
Youll combine hands-on development with architectural leadership - solving complex engineering challenges, guiding your team through design decisions, and ensuring our systems are robust, scalable, and maintainable.
Youll collaborate with other senior engineers, tech leads, and product partners to define technical direction, drive innovation, and improve engineering practices across the teams and groups.
This is a role for someone who thrives on building well-designed systems, driving technical excellence within the team and mentoring peers.
Responsibilities
Lead the design and implementation of scalable and reliable backend services.
Drive architectural discussions and make key technical decisions within your domain.
Collaborate with cross-functional teams to translate business and product goals into technical solutions.
Deliver high-quality, maintainable, and testable code while ensuring best practices for security, performance, and reliability.
Mentor and support engineers through design reviews, code reviews, and knowledge sharing.
Continuously improve development processes, observability, and deployment pipelines.
Contribute to the evolution of the platforms architecture as the company and product scale.

Main roles and responsibilities:
Partner with business leaders to identify, assess, and prioritize AI and automation opportunities across workflows and processes.
Hands-on creation of scalable AI-enabled workflows and operating models that align with business needs, available tooling, and business systems.
Translate use cases into clear implementation requirements, process definitions, documentation, and success criteria.
Build and maintain AI playbooks, standards, usage guidelines, and best practices for employees and teams.
Lead enablement activities, including onboarding, workshops, training materials, office hours, and internal knowledge sharing.
Drive adoption of approved AI tools and capabilities across the organization, helping teams move from experimentation to sustainable usage.
Collaborate with business stakeholders to ensure AI usage aligns with governance, privacy, security, confidentiality, and compliance requirements.
Establish feedback loops, reporting, and measurable KPIs for AI adoption, productivity gains, and business outcomes.
Monitor external AI trends, vendor capabilities, and emerging practices, and recommend improvements relevant to our company.
Support vendor evaluation, tool rationalization, and the rollout of new AI capabilities where needed.

The Global Employee Experience Partner is part of our companys People Talent Growth & Employee Experience team and is responsible for shaping, scaling, and continuously improving the employee experience across key moments that matter.
This is a temporary maternity leave coverage role, intended to ensure continuity, quality, and momentum across key Employee Experience priorities during the coverage period. The role helps translate our companys Employee Experience strategy into meaningful, consistent, and high-quality experiences that strengthen belonging, well-being and personal support, connection, and pride across geographies.
This role should be grounded in our companys EEX strategic approach: employee experience is not a separate layer, but a holistic system that lives in the day-to-day and in the spaces we intentionally create. As our company grows, some experiences that once happened naturally now require more intentional design, clearer ownership, and stronger operationalization.
The Global Employee Experience Partner will help connect the many touchpoints employees experience across professional and personal life into one coherent Care-System that helps people feel empowered, seen, and supported. This role should contribute not only to culture, but also to the outcomes the strategy is meant to driveretention, productivity, resilience, and talent attraction.
This is a highly collaborative role for someone who combines strong program ownership and project management with sensitivity to people, culture, and context. You should be equally comfortable picking up an existing plan, leading initiatives end-to-end, listening to employee and leader feedback, and turning insights into practical action with a fast ramp-up and strong handoff mindset. This is a hands-onrole that collaborates closely with stakeholders within and beyond the People team.
Responsibilities
Own and drive global employee experience initiatives
across the employee journey, while ensuring continuity of
existing work and plans during the coverage period.
Translate our companys Employee Experience strategy into a
clear roadmap with priorities, rhythms, owners, and success
measures.
Design and operationalize scalable programs and
touchpoints across sites and geographies, with room for
local relevance where needed.
Partner with People Partners, managers, and leaders to
understand employee needs, surface friction points, and
shape relevant, business-connected initiatives.
Build inclusiveness and active stakeholder engagement
into the way EX work is designed and rolled out, using
employees, managers, HRBPs, and other partners to
increase relevance and impact.
Lead key employee-facing initiatives across belonging,
well-being, recognition, community, lifecycle support, and
new-joiner experience.
Use qualitative and quantitative feedback to identify
patterns, improve programs over time, and recommend
sharper prioritization.
Partner cross-functionally and help create shared
language, visibility, and strong execution around Employee
Experience across our company.

We're looking for our first Forward Deployed Engineer. You'll sit directly with our customers' engineering teams and get their workloads- from the first scoping conversation to a production endpoint carrying real traffic, at a cost and latency profile they couldn't hit anywhere else.
This is an engineering role. You will write code every day, in customer repos and in ours. It also carries pieces of solutions architecture, product management, and pre-sales, and you should want that mix rather than tolerate it. Ambiguous business goals come in; observable, benchmarked, production services go out.
As the founding FDE you also define the function: what a POC looks like, what we promise and measure, which patterns get productized, and how the field feeds the roadmap. The next FDEs will work from what you build here.
What You'll Do
Own customer outcomes end to end: problem framing, evaluation design, migration, deployment, benchmarking, monitoring. You're the technical owner from first call through expansion.
Win the POC: turn a vague objective into a tight spec and a working proof of concept fast, with explicit quality, latency, throughput, and cost-per-token targets - and hit them.
Tune serverless inference for real workloads: model and engine selection, batching strategy, KV cache behavior, speculative decoding, quantization, parallelism, cold-start and autoscaling behavior under bursty traffic. Diagnose regressions down to the inference engine.
Migrate workloads: move customers off OpenAI-compatible APIs, self-managed vLLM, SageMaker, or their own GPU fleets - and prove out the quality and cost delta with numbers.
Guide model strategy: advise on open-weight model selection, distillation, and fine-tuning for specific tasks; help customers get from a general-purpose frontier model to a smaller, faster, cheaper one that holds quality.
Close the product loop: bring the field back into the roadmap - write the PRDs, land the PRs, and turn one-off customer work into platform features.
Be the technical anchor in the room: support sales on complex evaluations, run technical onboarding, earn trust with staff engineers and CTOs.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of our companys AI-first development tools.
Youll report to the companys co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in our company.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with R&D leadership and all R&D teams to define and build the tools which will make our companys R&D organization 10x faster and better thanks to the new AI capabilities of the world.
We will work in startup mode - close to our users, delivering value in quick iterations, while keeping very high engineering standards.
Responsibilities
Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership.
Define, develop, and integrate tools based on the latest AI technologies for the benefit of our companys R&D department.
Lead company-wide technical initiatives, ensuring alignment across multiple teams.
Lead and formalize engineering best practices around performance, reliability, and observability.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.

Were seeking a Senior Quality Specialist to join our companys QA team. In this role, youll lead the implementation and continuous improvement of quality assurance processes - including design controls, change control, and risk management, ensuring our products meet the highest global regulatory and industry standards. Your expertise will directly impact the safety, quality, and compliance of cutting-edge AI healthcare solutions.
What Youll Do:
Lead product release processes for new medical devices and software versions, collaborating closely with R&D, Product, Delivery, and SW QA teams.
Create, Maintain and review product related documentation (DHF, DMR, DHR, TFs) with a deep understanding of product design, implementation, and testing.
Translate regulatory requirements into actionable processes, enhancing efficiency, compliance, and product quality across the organization.
Support core QMS processes including SW Development Life Cycle (SDLC), Risk Management, CAPA, Non-Conformance, Usability, Document Control, Training, and more.
Leading AI and SW quality related problem solving
Cross-functional Collaboration: Work closely with SW engineers, data scientists, and product teams to identify testing requirements, troubleshoot issues, and improve overall AI system quality.
Assist in internal and external audits, ensuring readiness and full compliance.

We are looking for an experienced and insightful Senior Product Analyst with a specific focus on Platform Analytics to join our Product Analytics team. In this role, you will play a key part in shaping the user experience of our platform by analyzing and interpreting usage data, monitoring feature adoption, and supporting new feature launches with data-driven insights. This is an ideal position for someone with a passion for understanding user behavior and platform dynamics, alongside experience in tracking and optimizing key metrics that influence platform success and user satisfaction.
The Platform Analytics role requires a blend of analytical, technical, and collaborative skills, working alongside a cross-functional team of Product Managers, Customer Success Managers, Operations teams, Data Engineers, SW Developers, UI/UX Designers, and AI experts. Your insights will directly influence feature development and enhance the platform's usability, performance, and scalability.
Responsibilities
As a Senior Product Analyst specializing in Platform Analytics, you will be instrumental in advancing our platform's data-driven approach by focusing on:
Analyzing platform usage patterns and deriving actionable insights to optimize user engagement and satisfaction
Supporting the development of new features by monitoring early adoption, user interactions, and performance
Partnering with Product Managers to establish and track key feature KPIs, assessing impact, and recommending enhancements
Developing dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders
Collaborating with Customer Success and Product teams to understand and address user pain points, drive improvements and reduce churn
Continuously enhancing our analytics processes and data platforms to support agile and accurate insights for platform optimization.