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In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

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 looking for a highly experienced a hands-on Compiler Engineer who embodies ambition and positivity.

Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.

Requirements
Responsibilities:

Develop compiler from a proprietary quantum language to a proprietary processor tailored to realize and accelerate quantum computing.
Take on complex optimization challenges at the core of our unique compiler, focusing on real-time applications, hybrid quantum/classical algorithms, and parallel processing.
Conduct rigorous testing, debugging, and profiling to ensure the performance and correctness of compiler outputs.
Hands-on development and debugging of software to optimize the utilization of limited hardware resources, enabling the scaling of quantum computing systems and improving quantum algorithm performance on our cutting-edge quantum orchestration platform.
Collaborate closely with hardware, software and architecture teams to ensure seamless software-hardware integration, directly enhancing system capabilities and performance.

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 looking for a hands-on QA & Automation Team Lead who embodies ambition and positivity.

Someone who can passionately take ownership of quality across our high-level software, lead by example, and collaborate effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.

Responsibilities:

- Own the quality and test automation strategy across QM's high-level software, including our SDKs, APIs, user-facing tools, and the services around them.

- Lead a team of QA and automation engineers - setting technical direction, mentoring, and growing the team's capabilities while staying hands-on.

- Design, build, and maintain robust automation frameworks and the test suites that run within our CI flows, validating functionality, performance, and stability.

- Define test plans, coverage goals, and quality gates in close partnership with R&D, architecture, and product teams.

- Partner with DevOps to integrate test suites into the CI/CD pipelines they own, ensuring quality gates are well-defined and effective.

- Own Tier 2 customer support for software issues - investigating escalations, reproducing and diagnosing problems, driving them to resolution, and feeding insights back into test coverage and product quality.

- Drive root-cause analysis and continuous improvement of test reliability, flakiness, and release confidence.

- Establish metrics and reporting that give the organization clear, actionable visibility into product quality and release readiness.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.

The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.

Responsibilities:

Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.

The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.

Responsibilities:

Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it

As an AI Engineer, your primary focus will be delivering working features while adopting a Builder Mindset to shape the future of software development. You will leverage cutting-edge GenAI tools (such as Claude Code and others) to accelerate development, streamline workflows, and bring high-quality, production-ready features to life.
In this role, you will work closely with PMs, designers, and fellow engineers across frontend, backend, and data domains. You will use AI to tackle complex debugging, conduct research, and eliminate repetitive tasks-continuously improving your productivity while delivering functional, impactful features within your pod.
Responsibilities:
Feature Delivery: Own and deliver working features from end to end, contributing production-ready code with guidance and driving tangible product value.
AI-Accelerated Development: Utilize GenAI tools (e.g., Claude Code) to accelerate feature development, improve personal productivity, and optimize daily workflows.
Problem Solving & Debugging: Leverage AI for rapid debugging, technical research, and reducing repetitive manual work during feature delivery.
Cross-Domain Collaboration: Build a solid understanding across product, frontend, backend, and data domains, collaborating effectively with PMs, designers, and engineers.
Context & Documentation: Document technical decisions clearly and contribute to building shared team context and knowledge bases.
Continuous Learning & Adaptability: Learn the tech stack quickly, adapt smoothly to new tools/workflows, and actively apply feedback to grow as a builder.
Pod Reliability: Act as a dependable, collaborative contributor within your pod, helping drive team momentum and execution.

This role owns the AI-native GTM engine: the systems that find, enrich, reach, and route prospects and customers, and the workflows that create new opportunities for the company. You build revenue systems with AI tooling, then run them against pipeline targets. The scope is wide on purpose. You own the motion and the measurement, so theres no gap between what you build and what you can prove.

What youll own
Outbound engine. Multi-channel outbound end-to-end: list building, segmentation, messaging, sequencing, launch, and A/B iteration across email and LinkedIn. AI-driven personalization at scale, moving prospects from first touch to booked meeting with minimal manual input from sales.
Inbound conversion. Everything between the first visit and the booked meeting: on-site conversion paths, forms, chat, scoring, routing, and speed-to-lead. Instrument every step, find where intent leaks, and close the gap with automation instead of headcount. No inbound lead should sit waiting for a human to qualify it.
CRM truth and attribution. The measurement layer under everything else. If outbound, inbound, AEO, and content cant be attributed, none of it can be optimized or defended. Own data quality across HubSpot and Salesforce.
Data and enrichment. Prospect identification and signal tracking: enrichment waterfalls, buying signals, social listening, and clean push architecture into the CRM.
AI agents and automation. Claude is a teammate here, not a chatbot. Build the agents, skills, and workflows that encode our GTM playbooks and kill anything manual.
AI content and discovery. Build the writing agents that produce inbound at volume: programmatic pages, competitor comparisons, persona and vertical landing pages, localized variants, and one asset turned into fifteen across channels. AEO is the other half of this. Buyers now start in ChatGPT, Claude, Perplexity, and AI Overviews, not on a results page, so the content has to be built to be retrieved and cited: structured content and schema, presence on the review sites and communities models pull from, and a technical layer that makes our legible to crawlers.
Customer expansion. The signal engine that finds revenue inside the base: segmentation, expansion triggers, and routing each account to the right owner or the right sequence at the right time.
The stack itself. The GTM tech stack end-to-end: evaluate, buy, integrate, and kill tools as the motion evolves, and build tools with direct impact on revenue when nothing off the shelf does the job.