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Required QC Engineer
Department: Physics & metallurgy
Reports to: VP Physics & metallurgy
The Ceramic QC Lab role is responsible for operating a quality assurance lab based on existing testing systems and developing new testing methodologies. This role requires learning and applying QC testing methods, working independently to solve ceramic-related problems, maintaining attention to detail, and finding methodologies for conducting various tests.
Responsibilities:
Conduct QA Tests on Raw Materials: Perform QA tests on incoming raw materials and during their storage period, especially for materials with long storage times.
Monitor Ceramic Quality: Conduct QC tests to monitor ceramic quality throughout preparation, mixing, and printing stages.
Data Reporting: Input results to engineers at workstations and maintain direct communication to ensure consistency between measurement results and observed results in the field.
Improve Testing Methodologies: Continuously learn and enhance testing methods to refine results, ensuring up-to-date status analysis that matches results from different workstations.
Develop and Operate Monitoring Systems: Establish and operate a monitoring system for ceramic quality, accounting for calendar, process changes, equipment changes, and quality correlations between raw materials and batch variations.
Receive guidance from the Chemistry and Process teams to support QC methods.
Create Efficient QC Systems: Develop additional methods for an efficient QC system that provides an up-to-date quality status for ceramics, enabling troubleshooting without halting the process or workstations (e.g., material correction, refreshing, and adjusting working conditions to align material quality with the process).

We are seeking a highly skilled Chemical/Polymer/Materials Engineer to join our dynamic team. The ideal candidate will be responsible for developing and improving materials and processes to enhance the performance and durability of our products. This is an exciting opportunity to work on cutting-edge projects in a an innovative environment.
Responsibilities:
Optimize Formulations and Processes: Improve product performance through new formulations and processes.
Conduct Research and Experiments: Test the properties and performance of materials to support development and innovation.
Collaborate Across Teams: Work with cross-functional teams to ensure material compatibility and integration.
Data Analysis and Reporting: Analyze data and provide detailed reports with findings and recommendations.
Material Testing and Quality Control: Manage material testing and ensure quality control procedures are followed.
Stay Current in the Field: Keep updated with the latest advancements in materials science and engineering.
Provide Technical Support:

Required Experimental Physicist
Department: Physics & Material sciences
Reports to: VP Physics & Material sciences
The position of an experimental physicist includes hands-on involvement in the development of our first-generation industrial machine. An experimental physicist at Magnus Metal is expected to be an experienced physicist who brings deep physical understanding, wide technological knowledge, enthusiasm, and commitment to the development process, working in tight collaboration with other development disciplines.
Duties and Responsibilities:
Gaining knowledge and understanding of the machine's inner workings and driving physical principles, attaining a holistic view of the casting process and the machine.
Detecting, characterizing, understanding, and solving unpredicted challenges.
Devising and implementing novel solutions.
Designing, performing, and analyzing on-tool experiments.

We are seeking a highly skilled and experienced Senior Chemistry Researcher to join our innovative team. This role involves leading advanced research projects, developing new formulations, and optimizing processes to enhance our product offerings. The ideal candidate will possess a deep understanding of chemistry and materials science, along with a proven track record of success in a research environment. . This role requires a strong background in conducting independent research, publishing findings, and leading projects aimed at developing new materials and enhancing existing processes
Duties and Responsibilities:
Lead and manage complex research projects focused on the development of new formulations and chemical processes.
Design and conduct experiments to test hypotheses and analyze results.
Collaborate with cross-functional teams to integrate research findings into new product development.
Prepare detailed technical reports, research papers, and presentations to communicate findings to stakeholders.
Mentor and guide junior researchers, providing technical expertise and support.
Stay current with industry trends, advancements, and regulatory requirements to ensure the company remains at the forefront of the field.
Contribute to the development of patents and intellectual property protection for novel discoveries.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

Your focus will be to champion Foundry Projects born in the CTO office. Imagine shaping the architecture of multiple 'internal startups,' aligning them with the ecosystem while charting a strategic path to production. You will balance the urgency of moving fast with the foresight to build 'right and smart,' ensuring these innovations are ready to scale the moment they hit our core environment.

What Youll Do
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

In this role, the support engineer will resolve technical cases created by customers looking for help to understand or troubleshoot unexpected behaviors or to answer technical questions about the ServiceNow software and platform.

A successful candidate will be committed to providing amazing customer support experiences, using skills that include building trust, showing empathy and excellent communication to answer customer questions and resolve issues through various technologies including web, chat, email, case updates, as well as direct telephone support.

Understanding the ServiceNow platform and all core functionalities will be essential while employing various diagnostic tools to isolate the potential cause of the issue. The engineer is expected to diligently manage and resolve challenging issues assigned to them but may need to coordinate assistance from additional teams for more complex cases. As such, creative problem solving, a collaborative nature and flexibility will be key to your success.

Lastly, support engineers also play a key role in providing input across business units regarding process and product improvements due to their unique perspective when working on technical issues for customers.

We are looking for an AI (vision) Researcher.

As part of the team you will:

Develop novel solutions for retinal screening, spearheading healthcare accessibility.

Help prevent blindness worldwide.

Join a leading company with unique FDA approved products.

Learn from top ML researchers in the field.

As a AI-Data Engineer, youll take a leading role in building the foundation of our companys Agentic Exposure Management platform: the source of truth that tells a security team what they have, whats actually risky and why, how to fix it, and who is responsible.
Enterprises run their security across a sprawl of cloud and on-prem tools. Making sense of that sprawl is the heart of what we do. Were building a complex data fabric that reconciles data from a hundred different sources, applies sophisticated transformation and enrichment, and turns partial, uncertain signal into one trustworthy model of an organizations real exposure.
Key Responsibilities:
Model the security graph. Design an ontology that spans both the modern cloud and the classical on-prem world, abstract enough to absorb 100+ different integrations under one model, yet rich enough to carry everything needed for decision making. Decide whats an entity, whats an edge, and whats a denormalized attribute, across millions of assets and finding rows.
Own asset identity engineering and reconciliation. Upstream identifiers are uncertain and volatile. Engineer deterministic identity resolution for assets and findings arriving from different vendors.
Build LLM-based and agentic pipelines for data classification, entity extraction, and enrichment, optimizing for cost, latency, and precision in production.
Build the integration factory. Stand up a scalable integration platform that drives down time-to-integration.
Build and maintain complex ETL pipelines handling millions of records: incremental sync, complex correlation, and data quality observability and monitoring.

As a Full Stack Engineer, youll help shape the brain and heartbeat of our product. This isnt a narrow coding role, youll own problems end-to-end, from first sketch to shipping, and watch your work come alive in production within weeks. Youll join a tight, ambitious team where every engineer helps define both the product and the culture.
What youll do
Work across the stack, from frontend polish to backend resilience.
Collaborate with product and design to shape features, not just code them.
Ship fast, ship often, and still take pride in craft.
Explore and integrate advanced AI (LLMs, GenAI) into a production-grade product.
Turn customer feedback into product improvements that stick.
How we work
In-office, side-by-side, with quick feedback and faster shipping.
Pragmatic and product-first: no feature ships unless it makes a real impact.
Supportive but demanding: we hold a high bar and help each other reach it.
The tools we use (today - youll help shape tomorrow)
Powering the logic that makes hardware data come alive in our backend is Python. On the frontend, React and TypeScript give users a simple, intuitive way to work with complex information. Everything runs in the cloud - AWS and GCP - with containerized microservices (and Kubernetes keeping the gears turning smoothly) ensuring we can ship fast and scale seamlessly. For intelligence, we weave in LLMs and data pipelines to unlock insights from documents. And for resilience, our real-time monitoring keeps an eye on the moving parts - so the system stays as reliable as the products it supports.

We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.

What you'll be doing:
As a Senior Backend Engineer in the AI Engineering team, you will:
Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.

We are looking for an experienced clinician to serve as the medical voice inside our AI organization. In this role, you will work shoulder-to-shoulder with AI researchers, product managers, clinical managers, and external partners to shape clinical AI products that are safe, useful, and genuinely valuable to patients and care teams.

You will act as the bridge between medicine and AI research - bringing deep clinical judgment to the design, evaluation, and continuous improvement of AI systems that touch real patient care. This is a hands-on, cross-functional role for someone who is as comfortable dissecting a model's clinical failure modes as they are defining the next product opportunity.

What you'll be doing
Partner directly with AI researchers as the resident domain expert, contributing clinical insight throughout the development of innovative clinical AI products - from framing the problem to validating the solution.
Design and lead the clinical evaluation of AI products, defining what "good" looks like from a medical standpoint and rigorously assessing model outputs for safety, accuracy, and real-world clinical value.
Serve as the medical product owner, working alongside product managers, clinical managers, the CMO, and external partners to identify unmet needs, surface gaps, translate clinical requirements into product specifications, and derive new features from them.
Ground product and research decisions in clinical reality, ensuring that what we build fits how medicine is actually practiced and improves outcomes for patients and clinicians.
Communicate clearly across disciplines - translating clinical nuance for technical teams and technical trade-offs for clinical and business stakeholders.

We are seeking an IC Product Engineer to drive silicon validation, yield optimization, and product maturity from initial tape-out through high-volume manufacturing. In this role, you will act as the technical bridge between Design, Test, Quality, and Foundry/OSAT partners. Youll leverage advanced statistical analysis to convert complex ATE data into actionable yield and quality improvements.ng requisitions 'from scratch'

Responsibilities
Yield Learning & Optimization: Drive wafer-level and final test yield enhancement programs. Identify root causes of yield drop, parametric shifts, and low-yield excursions across multiple manufacturing lots.
Data Analysis & Reporting: Use JMP, Spotfire, or similar statistical tools to analyze large-scale ATE data (STDF), perform correlation analysis, establish guard bands, and track yield metrics across OSATs and foundries.
Silicon Validation & Characterization: Partner with Design and Test teams to define characterization plans, perform shmoo plot analysis, evaluate thermal/voltage margins, and establish production test limits.
Production & OSAT Support: Support offshore manufacturing, review yield baseline shifts, drive continuous improvement programs (CIP), and manage product hold disposition rules.
Quality & Reliability: Assist Failure Analysis (FA) and Reliability teams in investigating customer returns (RMA), qualifying new packages/process nodes, and supporting ESD/HTOL/HAST qualification tasks.

Were looking for a talented Radar System Integration Engineer to join our innovative System Engineering group.

Responsibilities
Integrate multidisciplinary full radar system including HW Platform, ASIC, RFIC, SW, ALGO.
Troubleshoot and debug ARBE's Radar, ASIC and FPGA platforms.
Define, implement and execute acceptance tests plans, procedures, and reports.
Define new features and HW requirements for full system optimization.
Simulate and analyze mix signals system data.
Validate system performance.