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Description
we are an agile defense-tech startup developing next-generation Counter-Uncrewed Systems (C-UxS), leveraging advanced electronic warfare and kinetic technologies. With combat-proven systems deployed globally, we are expanding our European footprint.
We are seeking an experienced B2G Sales Manager to lead defense and homeland security sales activities across Germany and additional European markets.
This position is ON-SITE.
Key Responsibilities:
Lead and execute B2G (Business-to-Government) sales activities across Germany and Europe.
Identify, engage, and manage relationships with governmental customers, defense agencies, and major system integrators.
Drive full sales lifecycle: opportunity identification, bid and proposal activities, qualification, pricing, contract negotiation, and closing.
Develop and execute strategic sales plans to expand market presence and achieve revenue targets.
Understand customer technical requirements and translate them into actionable proposals in collaboration with the engineering and product teams.
Represent the company at defense exhibitions, industry events, and governmental meetings across Europe.
Maintain strong awareness of procurement programs, competitors, and regulatory environments within the European defense & HLS ecosystem.

Were looking for a Founding DevOps Engineer to build our infrastructure DNA and the backbone of the AI revolution. 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 our company 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
- **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. Well design how we use **Helm**, **GitOps processes**, and specialized operators to manage state-of-the-art AI 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 AI researchers to move at lightning speed without worrying about the underlying hardware.

We're looking for our **first Forward Deployed Engineer**. You'll sit directly with our customers' engineering teams and get their workloads onto Impala - 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 onto Impala:** 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.

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
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 our company 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).

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
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 our company 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.

we are looking for a Supply Chain & Logistics Specialist to own the day-to-day movement, inventory, and operational readiness of the hardware that supports our global deployments.
This is a hands-on role at the intersection of supply chain, logistics, inventory, and technical hardware operations. You'll coordinate shipments across Israel and the United States, manage relationships and workflows with our manufacturing and logistics partners, maintain accurate inventory, and ensure our company hardware is properly prepared and ready for deployment.
You'll also support basic provisioning of our company servers and cores, including software flashing, configuration, and functional testing. You don't need to be an engineer - but you should be comfortable working with computer hardware and learning technical processes.
This is an ideal role for someone who likes making complex operational processes run smoothly, enjoys being hands-on, and can take ownership across multiple vendors, countries, and moving pieces.
Location
Casarea, Israel (Hybrid)
This role is based in our Caesarea office and requires a strong on-site presence due to the hands-on nature of the position. You should expect to work approximately four days per week on-site, with flexibility for approximately one remote day per week depending on operational needs.
What You'll Own
Own day-to-day supply chain and logistics activities supporting our company's hardware operations.
Manage inventory and maintain accurate visibility into hardware availability, movement, and status.
Coordinate domestic and international shipments, including shipping, receiving, documentation, couriers, express shipments, and freight.
Manage day-to-day workflows and operational processes with our company's U.S. third-party logistics (3PL) provider.
Coordinate with DHL and other freight, courier, and logistics partners.
Support hardware preparation and provisioning, including our company cores and servers.
Perform basic software flashing, configuration, and functional testing before deployment.
Troubleshoot basic hardware or provisioning issues and coordinate with technical teams when escalation is required.
Help establish clear, scalable processes for inventory, shipping, receiving, and hardware logistics as our company continues to grow globally.
Identify operational gaps and improve how hardware moves from our partners to our company and ultimately to our customers.
Other duties may be assigned.

The Senior Software Engineer, Edge our company's growing engineering organization and help build the software that runs on the core device layer behind our platform. This role sits within a small, highly impactful team responsible for a hybrid edge system that powers core functionality across video, security, networking, storage, and AI deployment in production environments. You'll work on a resource-conscious, distributed device architecture that spans multiple hardware targets and brings together technologies more commonly seen across both embedded and cloud systems. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable building reliable software for systems customers depend on every day.
Location & Travel
Hybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home.
Responsibilities
Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture
Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing
Designing and optimizing systems for low-latency, high-performance workloads at the edge
Building secure and efficient communication pipelines between edge devices and cloud systems
Working closely with AI/ML engineers to deploy and optimize models on-device
Participating in code reviews, debugging, and performance tuning across the stack
Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment
We dont do cookie-cutter. If you dont check every box but youve got the grit, the drive, and the track record-especially in security or AI-we encourage you to apply.