לוח משרות דרושים, לחיפוש זה נמצאו 34,724 משרות

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of our companys Imaging Platform.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple systems and teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with engineering and product leadership to define how our platform evolves - ensuring scalability, reliability, and performance as we grow.
Youll partner with senior engineers across domains to establish technical standards, solve high-impact problems, and align the organization around key architectural principles.
This role combines strategic architectural ownership with active technical contribution - you will stay close to the systems and code, ensuring architecture and reality evolve together.
Responsibilities
Lead company-wide or cross-team technical initiatives, ensuring architectural alignment across multiple product areas.
Define and drive long-term technical strategy for the Imaging Platform in collaboration with engineering leadership.
Provide architectural guidance, conduct design reviews, and mentor senior and staff engineers.
Lead and formalize engineering best practices around performance, reliability, and observability.
Contribute hands-on to architectural spikes and first-of-a-kind implementations where deep expertise is required.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.
Represent the group in company-wide architecture discussions and technical forums.

As a SecOps Engineer, you will help protect our companys cloud environments, products, corporate systems, and sensitive healthcare data by investigating SIEM alerts, supporting incident response, and improving the quality of security monitoring and operations.
This is a hands-on security operations role for someone who can analyze security signals, understand real risk, communicate clearly, and help the organization detect, investigate, and respond quickly and effectively to security events.
You will work closely with real production environments, where accurate investigation, clear documentation, and practical escalation are critical to protecting sensitive healthcare data, customer trust, and the reliability of our companys clinical AI platform.
Responsibilities
Own the end-to-end investigation of SIEM alerts across cloud, product, identity, endpoint, and SaaS environments: analyze the relevant evidence, separate false positives from real threats, and prioritize cases based on risk and impact.
Escalate high-risk findings with a clear summary of what happened, what is affected, why it matters, and what actions are required.
Support incident response by collecting evidence, assisting with containment, tracking remediation, and maintaining clear investigation records for internal reviews, compliance needs, and post-incident learning.
Improve SIEM rules, dashboards, alert logic, playbooks, telemetry coverage, and detection quality to reduce noise and strengthen security monitoring.
Work with Security, IT, DevOps, R&D, Product Security, and Compliance teams to resolve issues and improve security operations.

We're looking for an Experienced Performance Researcher 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 build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices.
Main Roles and Responsibilities:
You will directly influence our platform's scalability to support growth and R&D efficiency
Own Infrastructure projects end-to-end, from research and design to implementation and rollout.
Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency.
Evaluate and implement new technologies that upgrade our infra posture.
Collaborate with other engineers to define standards, patterns and platform roadmap.
Serve as a technical expert in infrastructure decisions and a driver of engineering excellence.

We are looking for a Senior Full-Stack Engineer to join our engineering organization and play a key role in building and evolving complex products and platforms at scale.
In this role, you will work across frontend, backend, and data layers, taking end-to-end ownership of meaningful features and systems.
From design and implementation through deployment and production support. You will collaborate closely with product, design, and engineering partners to deliver high-quality solutions that support business goals, internal efficiency, and scalable growth.
Responsibilities:
End-to-End Full-Stack Development
Design, develop, and maintain complex features and systems across frontend, backend services, and databases
Own features throughout their full lifecycle: design, implementation, testing, deployment, and ongoing production support
Hands-On Engineering
Write high-quality, production-grade code with a strong focus on reliability, performance, scalability, and maintainability
Contribute across the stack while making thoughtful trade-offs between speed, quality, and long-term sustainability
Product & Stakeholder Collaboration
Work closely with internal stakeholders to understand requirements and translate them into effective technical solutions
Actively participate in planning, estimation, and iterative delivery
Architecture & Technical Design
Contribute to system design and architectural decisions with a long-term, platform-oriented mindset
Help evolve existing systems and design new components that support growth, reuse, and operational excellence
Engineering Excellence
Promote and uphold best practices in software engineering, including clean code, testing strategies, CI/CD pipelines, and observability
Participate in code reviews and technical discussions to maintain high standards across the codebase
Technical Leadership & Knowledge Sharing
Serve as a technical role model through collaboration, mentorship, and constructive feedback.
Share knowledge and help raise the overall engineering bar across teams.

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
Φ
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.