Augury is looking for a motivated, proactive, and people-oriented Office Manager & Employee Experience Coordinator to join our Haifa office. 

In this dynamic role, you'll be the heart of our office - ensuring an exceptional employee experience while maintaining a well-run, inspiring workplace that runs smoothly and provides a welcoming environment. As a key point of contact for employees and managers alike, you'll have a real impact on company culture and day-to-day office life in a vibrant, fast-paced environment.

Your responsibilities will include maintaining administrative and operational best practices to ensure smooth office operations, as well as vendor management, event planning, enhancing employee welfare and managing end-to-end execution of employee experience projects and company events.

The ideal candidate has a people-first mindset, proactive, creative and owns a positive attitude. Also, you are willing and able to be in the office 5 days a week.

Day in your Life:

Run the office. Keep the space clean, stocked, and humming. You'll manage cleaning teams, suppliers, deliveries, maintenance, and the small fixes that keep the day moving. If a lightbulb is out or the espresso machine is sulking, you're on it.

Welcome everyone in. Employees, candidates, visitors, vendors- you set the tone at the front desk. Phones, packages, day-one welcomes, and sometimes travel coordination- including hotels, flights, and ground transportation for visiting board members and executives. You make people feel at home and make sure their logistics are seamless from landing to departure.

Global mindset. Augury operates across time zones- you'll work closely with our US team and other global sites. You're comfortable navigating cultural differences, managing async communication, and help scale global experience initiatives.

Own the budget. Petty cash, invoices, expense reports, vendor payments, opex and infrastructure - you track it, negotiate it, and keep it tidy. Excel will become a close friend. You'll also forward invoices to accounting and verify supplier payments.

Feed people, plan the moments. Full ownership of catering- breakfasts, events, candidate visits, the works. Plus the events that make Augury feel like Augury: holidays, celebrations, team activities, company trips, welfare programs. 

Take care of our people. Welcome new hires on day one, support onboarding and offboarding, send the gifts, and coordinate the small touches that make people feel seen.

Who do we think will love this role?

Someone who genuinely likes people and sweats the small details. We won't pretend every day is glamorous - there will be days when the AC dies, a supplier goes silent, and a big event is two days away, all at once. But the work matters, and the right person finds real satisfaction in keeping calm, solving the puzzle, and making it all run beautifully.

What you bring

Experience. You've done this before- office management, operations, or a similar role, ideally in a high-tech or startup environment.

People first. You build relationships that last. You listen for what people actually need, and you keep the team's best interest in mind even when things get messy.

Ownership. When something is yours, it's yours - fully. You see things through, follow up without being chased, and treat the office like it belongs to you (because in a way, it does).

Proactivity. You spot the lightbulb that's about to go, the snack running low, the small thing that will become a big thing if no one catches it. You bring problems and solutions - not just problems.

Creativity. You think beyond the checklist. A holiday isn't just a holiday - it's a moment to make people feel something. You bring fresh ideas to events, gifts, and the everyday office experience, and you're not afraid to try something that's never been done here before.

Problem-solver's brain. When something breaks (and it will), you stay calm, find the workaround, and keep things moving.

Strong communication. Clear, warm, and proactive - in both Hebrew and English. You over-communicate when it matters and keep the right people in the loop without being asked.

Collaboration. You work easily across teams - Finance, Operations, People - and know that the best results come from partnership, not solo heroics.

Tech comfort. Solid Google Suite and Microsoft Office, especially Excel. Comfortable using AI tools to draft, plan, and work smarter.

Office energy. You're up for being in the office 5 days a week, and you bring hospitality to every interaction. This is a face-to-face role, and you genuinely enjoy that.

Perks

• Stock options
• Paid parental leave
• Flex PTO
   

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary ASIC Design Student to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, designing complex solutions that sit at the heart of our most ambitious connectivity projects.

As an ASIC Design Student, you won't just build chips—you will be part of a team defining the next generation of AI infrastructure main components. The complex digital blocks under your micro-architecture and implementation responsibilities will power the world's largest AI clusters. You will own the journey from high-level definition through RTL implementation and backend support, transforming complex logic challenges into elegant, high-performance hardware. If you thrive on solving unnamed challenges in deep-submicron processes and want to shape the digital design foundation for AI infrastructure connectivity, this is your opportunity.

Key Responsibilities

• Assist in the development of micro-architecture, RTL coding, and debugging for complex digital blocks
• Utilize industry-leading EDA tools (Lint, CDC, Synthesis) to ensure designs are robust and power-efficient
• Work closely with the verification team to run simulations, analyze results, and ensure design quality
• Interact with Architecture and Backend teams to understand the full chip development lifecycle
• Help leverage AI-based automation tools to optimize engineering workflows

Basic Qualifications

• Pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field
• Strong academic record with a focus on Digital Logic Design and VLSI
• Ability to work at least 2 days per week at our Haifa/Tel Aviv center
• Solid understanding of logic design principles and hardware description languages (Verilog or SystemVerilog)
• A "can-do" attitude with a passion for solving complex technical challenges
• Fluent in Hebrew and English with the ability to work effectively in a team environment

Preferred Qualifications

• Hands-on experience with FPGA projects or university-level tape-out projects
• Proficiency in Python, Perl, or Bash for automation
• Completed courses in Computer Architecture, Synthesis, or Static Timing Analysis (STA)
• Basic familiarity with high-speed protocols like PCIe or DDR

Role Overview

Astera Labs is establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary Design Verification Student to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, designing complex solutions that sit at the heart of our most ambitious connectivity projects.

As a Design Verification Student, you will be at the forefront of quality, learning how to ensure that the chips powering the world's largest AI clusters are bug-free and robust.
This isn't just about running tests - it’s an opportunity to learn advanced verification methodologies (UVM/SystemVerilog) alongside world-class engineers. You will support the development of sophisticated testbenches and help verify high-performance digital blocks that sit at the heart of AI infrastructure.

Key Responsibilities

• Assist in building and maintaining System Verilog/UVM-based testbenches, including monitors, checkers, and functional coverage models
• Run simulations, analyze failures, and work with the design team to debug and resolve RTL issues
• Help define and implement functional coverage and assertions to ensure all "corner cases" of the design are tested
• Utilize and improve scripting (Python/Tcl) to streamline verification flows and result reporting
• Partner with Design Engineers to understand block specifications and ensure the verification plan matches the design intent

Basic Qualifications

• Pursuing a Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field
• Ability to work at least 2 days a week at our Haifa/Tel Aviv center
• Strong understanding of Digital Logic and at least one programming language (C/C++ or Python)
• Basic familiarity with Verilog or SystemVerilog from academic projects or lab work
• A natural curiosity for "breaking things" and finding bugs, with a strong attention to detail
• Fluent in Hebrew and English with the ability to work effectively in a team environment

Preferred Qualifications

• Completed courses in VLSI, Digital Systems, or Computer Architecture
• Proficiency in Python, Perl, or Tcl
• Any prior exposure to UVM/OVM or constrained-random verification is a major plus
• Basic understanding of protocols like PCIe, Ethernet, or DDR

Job Description

Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

Basic Qualifications

• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Advanced degrees in data science or Machine learning / AI - Advance.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi.
• Experience with data visualization tools such as Tableau, Matplotlib, Graphana.
• Strong analytical and critical-thinking skills to identify patterns and outliers.
• Customer-obsession, Think and act with the customer in mind!
• Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe.
• Entrepreneurial, open-minded behavior and can-do attitude.

Required Experience

• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
• Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn).
• Proven ability to manage multiple tasks and meet deadlines.

Preferred Experience

• Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages.
• Master’s degree in a relevant field.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Knowledge of engineering design tools and processes.

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

Why Join Us

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.

We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.

At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

What you will be doing

 As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of Lightricks’ machine learning inference systems. You’ll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. You’ll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering Lightricks' next-generation AI products.
This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities

• Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
• Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
• Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
• Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
• Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
• Investigate performance bottlenecks at all levels of the stack—from Python to kernel-level execution
• Navigate and enhance a large, complex, production-grade codebase
• Drive innovation in low-level system design to support future ML workloads

Your Skills and Experience

• 5+ years of experience in high-performance software engineering
• Advanced proficiency in CUDA, C/C++, and Python, especially in production environments
• Deep understanding of GPU architecture, memory hierarchies, and optimization techniques
• Proven track record of optimizing compute-intensive systems
• Strong system architecture fundamentals, especially around performance, concurrency, and parallelism
• Ability to independently lead deep technical investigations and deliver clean, maintainable solutions
• Collaborative and team-oriented mindset, with experience working across functional teams

Preferred Requirements

• Experience with low-level profiling and debugging tools (e.g., Nsight, perf, gdb, VTune)
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT, ONNX Runtime)
• Contributions to performance-critical open-source or ML infrastructure projects
• Experience with cloud infrastructure and GPU scheduling at scale

Who we are

Lightricks is an AI-first company with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through api integration.

Our flagship products include Facetune and LTX Studio, used by hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution to bring the future of expression to all.

What you will be doing

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of Lightricks’ machine learning inference systems. You’ll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. You’ll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering Lightricks' next-generation AI products.
This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities

• Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
• Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
• Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
• Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
• Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
• Investigate performance bottlenecks at all levels of the stack—from Python to kernel-level execution
• Navigate and enhance a large, complex, production-grade codebase
• Drive innovation in low-level system design to support future ML workloads

Your Skills and Experience

• 5+ years of experience in high-performance software engineering
• Advanced proficiency in CUDA, C/C++, and Python, especially in production environments
• Deep understanding of GPU architecture, memory hierarchies, and optimization techniques
• Proven track record of optimizing compute-intensive systems
• Strong system architecture fundamentals, especially around performance, concurrency, and parallelism
• Ability to independently lead deep technical investigations and deliver clean, maintainable solutions
• Collaborative and team-oriented mindset, with experience working across functional teams

Preferred Requirements

• Experience with low-level profiling and debugging tools (e.g., Nsight, perf, gdb, VTune)
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorRT, ONNX Runtime)
• Contributions to performance-critical open-source or ML infrastructure projects
• Experience with cloud infrastructure and GPU scheduling at scale

Why Join Us

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.
We believe in an environment where people are encouraged to think, create, and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together. At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

We got you covered: 

• We run daily door-to-door shuttles, offering Car-to-go subscriptions for several locations in central Israel, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.

We’re looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field. You’ll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.

A Day In Your Life 

• Own the embedded Linux platform: BSP, kernel configuration, device tree, bootloaders (e.g., U-Boot), systemd services, and startup/upgrade flows.
• Develop user-space applications using object-oriented principles (C++/Go/Rust/Similar) to implement core device logic and features, leveraging available libraries and frameworks.
• Build production images using Yocto or Buildroot, manage layers/recipes, and maintain reproducible builds for multiple hardware variants.
• Implement secure OTA updates (e.g., Mender, RAUC, SWUpdate), with A/B partitions, rollback, and signing—targeting zero‑touch fleet upgrades.
• Harden devices for security: filesystem permissions, sandboxing (e.g., AppArmor/SELinux), secure boot/TPM, key management, CVE tracking, and update policies.
• Deliver robust connectivity: Ethernet/Wi‑Fi/Cellular (LTE), BLE gateway roles, MQTT/HTTPS, VPN/WireGuard; optimize reliability, roaming, and reconnection logic.
• Instrument and debug in the field: journald, core dumps, remote shell, metrics/health checks; trace with strace/perf/tcpdump and diagnose with Wireshark.
• Collaborate across disciplines: work with HW, manufacturing, QA, backend, and product to define requirements, provisioning flows, and factory test automation.
• Raise the bar on quality: CI/CD for cross‑compilation, unit/integration tests, static analysis, reproducible builds, and fleet-safe release practices.

What you bring

• 3–5 years of Embedded Linux experience shipping devices to production at scale.

• Strong proficiency in object-oriented programming (OOP) principles and multi-threading experience, with hands-on skills in C/C++/GO/Rust/Similar in user space (some kernel familiarity) and scripting (Bash, Python); expertise with build systems (CMake/Make, BitBake).
• Hands-on with Buildroot or Yocto Project (preferably Buildroot), including custom layers, recipes, and SDKs.
• Solid understanding of Linux kernel basics, device trees, drivers/BSP integration, bootloaders (U‑Boot), and systemd service design.
• Networking fundamentals: TCP/IP, DHCP/DNS, TLS, MQTT/HTTPS, VPN; experience with Wi‑Fi/cellular modules and AT command stacks is a plus.
• Proven experience with OTA frameworks, partitioning strategies, and rollback-safe update flows.
• Git fluency and experience with CI (GitHub Actions, GitLab CI or similar) for cross builds and test automation.
• BSc in EE/CE/CS (or equivalent practical experience).

Nice to have

• Device security: secure boot, TPM, disk encryption, SBOM/CVE remediation workflows.
• Real-time and performance: PREEMPT_RT, scheduling, latency tuning, power management.
• Edge packaging: containers (Docker/Podman) on ARM, OCI/CRUN, rootless strategies.
• Cloud & IoT: AWS IoT/Azure IoT, device identity/provisioning, fleet management tooling.
• Language breadth: Go or Rust for system services; protobuf/gRPC.
• Manufacturing flows: factory provisioning, E2E traceability, and end-of-line testing.

Perks

• Stock options
• Paid parental leave
• Flex PTO