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We are seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment.
What will your job look like:
Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
Monitor progress and proactively drive issue resolution to maintain predictable delivery.
Define, track, and analyze execution KPIs
Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
Drive transparency, accountability, and operational rigor across stakeholders.
Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

We are seeking a highly driven, hands-on Production Engineering Leader to join our Operations & Manufacturing team. In this role, you will serve as the primary operational link to our Contract Manufacturers (CMs), drive the end-to-end NPI handoff process into steady-state production, manage legacy product lines, and streamline the production-side RMA pipeline.

If you thrive in a high-growth, fast-paced hardware environment, love diagnosing complex manufacturing challenges, and are passionate about continuous improvement, this is the role for you.

Key Responsibilities

Contract Manufacturer (CM) Management & Line Ownership

CM Operations & Execution: Drive day-to-day operational and technical alignment with external CMs to ensure high build execution, product yield, and strict adherence to quality and schedule targets.
Manufacturing Bottlenecks: Identify and resolve yield drops, component shortages/substitutions, or assembly issues directly with vendor engineering teams.
ECO/ECN Release: Oversee engineering change implementation across active production runs at the CM, maintaining clear configuration control.
NPI Composition Handoff & Legacy Product Support

NPI to Production Handoff: Lead the operational composition and transfer of new product introductions (NPI) from R&D into scalable volume manufacturing at the CM level.
Legacy Product Management: Maintain operational health, sustaining engineering, and end-of-life (EOL) management for legacy product lines to ensure ongoing delivery stability.
Process Documentation: Define standard operating procedures (SOPs), assembly routing, build packages, and work instructions for incoming product variants.
Production RMA Process

RMA Pipeline Management: Take ownership of the production side of the Return Merchandise Authorization (RMA) process, ensuring rapid triage, dispositioning, and turnaround times.
Feedback Loop: Feed critical quality, design, and manufacturing insights back to R&D and Quality teams to drive design-for-manufacturability (DFM) improvements.
Continuous Improvement

Yield & Efficiency Optimization: Track key operational metrics (First Pass Yield, Scrap, Cycle Time) and implement engineering fixes to minimize waste and reduce lead times.
Tooling & Fixturing: Coordinate with suppliers to design, validate, or upgrade assembly fixtures, jigs, and test setups.

We are seeking an experienced Team Leader to lead our Failure Analysis engineering group within the Product Engineering team. You will be responsible for controlling and improving the quality of our hardware products through technical leadership, data-driven insights, and global production support. This role requires deep expertise in electronics systems, failure methodologies, production process control, and proven leadership capabilities across multiple geographies.



Key Responsibilities

Lead, mentor, and develop a team of failure analysis engineers while providing technical guidance on complex hardware issues.
Drive continuous improvement of quality KPIs through root cause analysis (RCA), statistical analysis, and yield optimization across all products.
Establish and implement standardized failure analysis methodologies, debug protocols, and quality control processes across global production sites.
Serve as the technical focal point for product design and functionality, supporting the team across RF, embedded, FPGA, high-speed communication, and mixed-signal systems.
Collaborate across Design, Manufacturing, Supply Chain, and Sales teams to resolve critical issues and prevent yield impact.
Manage vendor/supplier escalations and conduct design DFT/DFM (Design for Test/Manufacturability) analyses.
Lead investigation of production crises and manage critical path issues under time pressure.

We are looking for a hands-on FPGA Design Engineer, specialized in high-performance digital design and FPGA-based system development, as part of the QM-Platform team.

This role involves ownership of FPGA interfaces and connectivity logic, including high-speed communication blocks, platform integration, and close collaboration with embedded and hardware teams. You will work on complex FPGA/SoC platforms, enabling robust and scalable solutions for quantum control systems.

Responsibilities

Own the design and implementation of FPGA-based interfaces such as PCIe, I2C, SPI, and high-speed GT communication.
Develop and integrate FPGA logic on advanced platforms, including Xilinx UltraScale+ and Versal.
Collaborate closely with embedded, hardware, and system teams to ensure seamless HW/SW/FPGA integration.
Drive FPGA bring-up, debugging, and validation at both lab and system levels.
Participate in system architecture definition and cross-team design decisions.

We are looking for an excellent design engineer to join our team and build QM's state-of-the-art control and orchestration platform. We are looking for a highly talented and motivated person, who is a real team player and which can collaborate closely with engineers from other disciplines and quantum physicists

Responsibilities:

Designing a configurable and very low-latency challenging RTL
Bringing the state-of-the-art FPGA to its limits with regards to logic & timing optimization
End2end ownership of the entire coding process (Arch->uArch->Design->Implementation)
Learning system and SW requirements for proper implementation of HW-SW interface

Join our cutting-edge hardware development team as Micro-Architect and play a key role in defining and implementing the micro-architecture of advanced digital logic components.

What You'll Do:

Define and develop micro-architecture for complex logic blocks - from concept through high-quality RTL implementation
Collaborate closely with architecture, verification, design and software design teams
Write clear and detailed design specifications and drive architectural trade-off analysis
Optimize for performance and area
Contribute to innovation, methodology improvements, and technical leadership within the team

We are building a new AI venture inside monday.com to redefine how businesses interact with their customers through next-generation conversational AI and agentic systems. Our AI doesnt just react - it plans, reasons, and acts.

Youll join a small, highly autonomous team with the agility, ownership, and pace of a startup, working alongside world-class engineers and researchers to build the next generation of conversational AI. Youll have access to large-scale real-world data, the compute and resources to pursue groundbreaking research, and the freedom to move fast while helping shape Harmonys AI vision.

What youll do

Research novel algorithms and design new deep learning architectures to advance our in-house NLP and conversational models.

Develop methods for translating customer goals into structured representations with controlled states and real-time observations.

Help design the reasoning layer that orchestrates our AI models efficiently alongside a range of LLMs, enabling each agent to adapt its policy throughout a conversation while remaining aligned with customer objectives.

Build analytical tools that trace our AI decision process across a vast corpus of conversations, providing clear visibility into their reasoning and behavior.

Collaborate closely with engineers and product teams to translate cutting-edge research into production at scale.

Proactively lead new ideas and technical initiatives.

we are looking for a Systems Integration Engineer.
What you'll own:
Own requirements flow-down from vehicle-level acoustic, performance, and safety targets to subsystem specifications under an ARP4754A-aligned development process.
Author and control interface definitions across structures, propulsion, avionics, and software - including the vibration, isolation, and acoustic constraints most ICDs never carry.
Build and maintain the vehicle requirements and verification database with full bidirectional traceability from stakeholder need to test evidence, and defend it in audits.
Plan and run integration campaigns on the systems bench and iron bird: power-on sequencing, interface checkout, fault injection, and end-to-end functional verification before anything flies.
Lead ground and flight test campaigns as the vehicle-level V&V owner - define test objectives, success criteria, and instrumentation requirements, then reconcile measured results against requirements line by line.
Chair cross-subsystem integration reviews and arbitrate trades where a decibel saved in one subsystem costs mass, power, or schedule in another.
Conduct safety assessment work - FHA, PSSA, FMEA, and fault trees per ARP4761 - jointly with subsystem leads, and track every derived requirement to closure.
Drive gated design reviews from SRR through test readiness with hard closure metrics: verification status, open interface items, and integration risk burn-down.