product engineer

Traversal

<div><h3 class="jobSectionHeader">About Traversal</h3>
Traversal is the AI Site Reliability Engineer (SRE) for the enterprise&mdash;already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work.
Our roots remain deeply embedded in AI research, and we&rsquo;re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we&rsquo;re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.<h3 class="jobSectionHeader">
The Role</h3>
As a Product Engineer at Traversal, you&rsquo;ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you&rsquo;ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.<h3 class="jobSectionHeader">
Responsibilities</h3><ul><li>
Product Impact: Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load.</li><li>
User Experience: Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability.</li><li>
Agent Development: Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation.</li><li>
API Development: Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.</li><li>
Data Management: Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.</li><li>
AI Integration: Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.</li><li>
Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
4+ years of software engineering experience, with a strong focus on full-stack systems.</li><li>
Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.</li><li>
Strong experience with Python and web frameworks such as FastAPI.</li><li>
Hands-on experience with React, TypeScript, Next.js, and TailwindCSS to build fast, responsive, and maintainable frontends.</li><li>
Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.</li><li>
Note: You don&rsquo;t need to meet every single requirement. If you have deep experience in a subset of these areas, we encourage you to apply.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Familiarity with Python-based ecosystems is a plus.</li><li>
Experience working with Agentic AI systems or in the observability domain.</li><li>
Background in large-scale, complex, data-driven applications.</li><li>
Familiarity with building AI or LLM-powered products.</li></ul><h3 class="jobSectionHeader">
Compensation</h3>
We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000&ndash;$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.<h3 class="jobSectionHeader">
Why You Should Join Us</h3>
We&rsquo;ll make sure you&rsquo;re fully supported with health insurance, a great tech setup, flexible time off, and plenty of in-office snacks. We offer competitive salary and equity packages, and take thoughtful consideration with every hire on our small, high-impact team.
Traversal is fully in-office, 5 days a week, based in New York near Madison Square Park. We have a collaborative, hard-working culture and are energized by building the future of AI-powered software maintenance.
Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.</div>

Product Engineer

Kairon Health

<div><h1 class="jobSectionHeader">About Kairon Health</h1>
Kairon is the execution layer for healthcare. We turn fragmented claims and clinical data into actionable workflows that help ACOs and health networks actually capture their shared savings &mdash; not just measure them after the fact.
We&rsquo;re a seed-stage team of &lt;10, working with real customers managing real patient populations. Our platform spans practice intelligence, care operations, patient activation, and performance analytics. We&rsquo;re AI-native &mdash; not as a buzzword, but because our team builds with Claude, automated transcription, and intelligent workflows as core infrastructure, not bolt-on features.
We&rsquo;re at the stage where our early customers love the product and we need to make onboarding, support, and ongoing operations repeatable without losing the high-touch quality that got us here.<h1 class="jobSectionHeader">
Position Overview</h1>
We&rsquo;re seeking a Senior Product Engineer, Data Applications to own the product layer where data meets decision-making. You&rsquo;ll build the data-powered applications that surface intelligence directly to users &mdash; from the Performance App and ACO-in-a-Box tooling to interactive reporting, scorecards, and next-generation analytics experiences.
This is a full-stack, product-oriented engineering role. You&rsquo;ll design and implement end-to-end solutions (data models, APIs, and UI components) that bring Kairon&rsquo;s insights to life for practice leaders. You&rsquo;ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.
You&rsquo;ll thrive here if you&rsquo;re as excited about what you build as why you&rsquo;re building it: an engineer who understands product trade-offs, can shape features from user requirements, and enjoys turning messy data into meaningful, elegant applications.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches.</li><li>
Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the Kairon platform.</li><li>
Collaborate with product and analytics: Translate user needs and clinical/financial metrics into intuitive visualizations and actionable interfaces.</li><li>
Advance in-app intelligence: Integrate data pipelines, LLM insights, and healthcare analytics into user-facing modules (Performance App, ACO-in-a-Box, CRM, and others).</li><li>
Uphold scalability and quality: Design for maintainability, reusability, and performance; implement tests and observability to ensure reliability.</li><li>
Contribute to design &amp; UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.</li><li>
Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.</li><li>
Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
6+ years of professional experience building production web applications (frontend + backend).</li><li>
Strong proficiency in Python, Django/DRF, Vue, and SQL; experience with data visualization frameworks and API design.</li><li>
Experience designing or consuming data models and ETL pipelines (e.g., Snowflake, dbt, or similar).</li><li>
Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.</li><li>
Familiarity with healthcare, analytics, or enterprise SaaS environments.</li><li>
Clear communication and cross-functional collaboration skills; comfort working directly with product and leadership.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Experience in healthcare or value-based care analytics, EHR data, or claims data models.</li><li>
Prior work integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.</li><li>
Strong understanding of data visualization principles and UX for analytics products.</li><li>
Background that spans both engineering and product management (technical PM, full-stack data apps, or similar hybrid roles).</li><li>
Previous experience in an early-stage or high-growth startup environment.</li></ul><h1 class="jobSectionHeader">
Why This Role</h1><ul><li>
Impact. You&rsquo;re not maintaining someone else&rsquo;s machine. You&rsquo;re building customer operations from the ground up at a company where the work directly affects whether patients get better care.</li><li>
Growth. This role has a clear trajectory. Depending on your strengths and interests, this becomes Head of Customer Success, Director of Implementations, or a Product leadership role as we scale. You&rsquo;ll have the context and relationships to grow into whatever the company needs most.</li><li>
Stage. We&rsquo;re past the &ldquo;will this work?&rdquo; phase &mdash; customers are live and getting value. We&rsquo;re in the &ldquo;how do we do this 10x without breaking?&rdquo; phase. That&rsquo;s the most interesting operational puzzle in a startup.</li><li>
Equity. You&rsquo;ll have meaningful ownership as one of our first 10 hires, with a real seat at the table.</li></ul>
Diversity and inclusion are core to our culture. If you are a member of an underrepresented group in tech, we strongly encourage you to apply.
Compensation Range: $170K - $190K</div>

Product Engineer, Data

Air Distribution Technologies, Inc.

<div>
 <ul>
 <li>
 Developing and implementing new products that meet the project charter while considering costs, material requirements, manufacturing processes, and other key charter targets.
 </li>
 <li>
 Collaborating with the product engineering and product application teams to review project feasibility.
 </li>
 <li>
 Design detailed project plans with product engineering, laboratory, and product application teams to manage all product development processes.
 </li>
 <li>
 Design products. This may include making calculations of product dimensions, 3D/2D drawings, and BOM.
 </li>
 <li>
 Working with third party agencies like AMCA/UL/Intertek.
 </li>
 <li>
 Overseeing the research, engineering, manufacturing, testing, and safekeeping of prototypes.
 </li>
 <li>
 Resolving production and product testing issues.
 </li>
 <li>
 Create weekly reports providing details on the progress of product development projects.
 </li>
 <li>
 Monthly review and update project schedule.
 </li>
 <li>
 Perform other duties as assigned by the supervisor.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree in Mechanical Engineering with minimum 5 years of working experience in a design/manufacturing role.
 </li>
 <li>
 Strong understanding on sheetmetal design and manufacturing techniques.
 </li>
 <li>
 Strong written and verbal English communication skills.
 </li>
 <li>
 Strong initiative with likeable personality with the ability to interface and interact with people of all levels.
 </li>
 <li>
 Having the aptitude for providing solutions and solving problems and the passion for a sales support functions and roles
 </li>
 <li>
 Knowledge in AutoCad/Solidworks and MS Office applications is a MUST.
 </li>
 </ul>
</div>

Sifted

<div>Description:

Sifted Logistics Intelligence (&ldquo;Sifted&rdquo;) is at the forefront of logistics optimization, providing a cutting-edge SaaS platform and predictive analytics tools designed to revolutionize the way parcel shippers manage their operations.
Our platform goes beyond traditional consulting methods, empowering businesses to continuously calibrate, automate, and monitor their shipping spend, carriers, and contracts with unparalleled precision and insight.
We're driving a transformative shift in the logistics industry, redefining what's possible for our clients &mdash; and AI is at the core of that evolution.
At Sifted, we don't just use AI &mdash; we depend on it. Our proprietary SiftedAI platform delivers predictive intelligence and automation that enable businesses to make smarter, faster, and more confident decisions. Internally, every employee is expected to leverage AI to optimize how they think, create, and deliver. We believe mastering AI is fundamental to our speed, excellence, and competitive edge.
Be part of a company that created a category and is continuously building. If you get excited about defining market verticals and making an impact, Sifted is the place for you. Join us and be part of something extraordinary.
We're looking for a product-minded data engineer who ships end-to-end features, not just pipelines. You'll own the full lifecycle of data and AI-powered products &mdash; from pipeline to production &mdash; and work directly with customers, ops, and product to define and solve the right problems.
As a Product Engineer, you&rsquo;ll help build the tools and automation that shippers and 3PLs rely on to run their business &mdash; owning problems end to end. You&rsquo;ll collaborate closely with your team, product partners, domain experts, and clients to build a deep understanding of a domain problem, then work backwards to the right technical solution. You&rsquo;ll use automation and AI as core tools in how you approach and deliver solutions that make a real difference for the shippers and 3PLs who depend on them.<ul><li>
Build and maintain the data pipelines, automation, and product features that shippers and 3PLs depend on</li><li>
Partner with product, operations, domain experts, and customers to define problems and validate that what you build actually solves them</li><li>
Own problems end-to-end &mdash; from understanding the business need through designing, building, shipping, and supporting the solution in production</li><li>
Write and own your own tests and data-quality checks, catching correctness issues before they reach customers</li><li>
Use AI and automation to accelerate how you build, while verifying and standing behind everything you ship</li><li>
Work across the stack &mdash; data, backend, and the customer-facing surfaces &mdash; going wherever the problem leads</li></ul>
Requirements:
<ul><li>Experience with a modern cloud data warehouse (e.g. Snowflake, BigQuery, Redshift) and its transformation tooling (e.g. dbt)*</li><li>
Demonstrated success implementing CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins, BitBucket pipelines)</li><li>
3+ years of professional experience in software engineering or data engineering</li><li>
Designed or managed data pipelines handling millions of records daily</li><li>
Proven experience gathering requirements and working directly with stakeholders*</li><li>
Experience deploying and maintaining systems in cloud environments (AWS, Azure, or GCP)</li><li>
Demonstrated ability and willingness to embrace AI as a core tool for problem-solving and innovation</li></ul>
Nice to Have<ul><li>
Hands-on experience with C# and/or React</li><li>
Background in parcel shipping or third-party logistics (3PL)</li></ul>
 What We Provide<ul><li>
Well capitalized Private Equity investor focused on Growth</li><li>
Best-in-class compensation package and an unmatched comprehensive benefit program</li><li>
Flexibility to achieve and accomplish results</li><li>
Extremely collaborative work environment across teams to drive results</li><li>
Culture is built on how we improve people&rsquo;s lives</li><li>Denotes an essential function/qualification of the role.</li></ul></div>

Product Engineer Data & AI

JODAYN

<div>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments. 
Requirements 
AI Platform Engineering<ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul>
Agentic AI Development<ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul>
Large Language Model Integration<ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul>
Enterprise System Integration<ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul>
Proposal &amp; Compliance Automation<ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul>
Infrastructure &amp; Deployment<ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul> 
Required Qualifications
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul>
Experience<ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul>
Required Technical Skills
Programming &amp; Backend Development<ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul>
AI Technologies<ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul>
Frontend &amp; Integration<ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul>
Infrastructure &amp; DevOps<ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul>
Preferred Skills<ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul> 
Core Competencies<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div>

Senior AI Product Engineer

Pansophic Learning

<div>The Product Operations Engineer will design, code and tests software solutions for learning systems. They will deliver and support products with high quality and in a timely manner. The Product Operations Engineer will administer Canvas, Integrated third parties, and the SIS (Student Information Systems), to support the worldwide expansion of our schools. They will be a collaborative and reliable individual who is motivated by working with an energetic, high-performing team to build a leading education company.
The Product Operations Engineer will oversee the implementation, support and troubleshooting of systems within our educational environment (Online, Brick and Mortar and international, 100+ schools). This position requires strong technical skills with data analysis, complex configurations, and integrations with both internal and external applications. The Product Operations engineer will work with the Software Development Managers and Software Engineers to provide suggestions and solutions to maintain and improve the current and future developments of the company.

Applicants in California, Colorado and New York are not eligible for this position.

Responsibilities:
<ul>
<li>Design, implement and test software solutions for K-12 schools' learning environment</li>
<li>Design, implement and test RESTful web services using NodeJS, Google Apps Script, and Postman</li>
<li>Work with various services from Amazon Web Services (AWS) to build, host and maintain application environments</li>
<li>Follow best practices for maintaining source code repositories and branching/merging strategies with Git for multiple code bases and applications</li>
<li>Analyze and resolve technical and application problems</li>
<li>Provide analysis and troubleshooting support for production issues &amp; code deployment activities</li>
<li>Contribute to the user interface design and development</li>
<li>Work collaboratively with other developers/testers and product owners</li>
<li>Setup and Administer systems (SIS, LMS, third party integrations) or existing and new schools joining the Pansophic environment</li>
<li>Work closely with enrollment and development teams to identify complex mapping of data into the learning ecosystem</li>
<li>Coordinate day to day operations of systems including but not limited to the following:</li>
<li>Work closely with school staff, administrators, and operational teams to address system anomalies, accurately diagnose issues, and ensure timely resolution to minimize impacts to the learning experience</li>
<li>Perform routine maintenance and application updates on servers/instances</li>
<li>Coordinate with vendors on maintenance impacts and communicate out to impacted parties via Incident/Maintenance team</li>
<li>Work with various departments/teams on projects, data requests, automation, custom reports</li>
<li>Create and maintain documentation and provide training to corporate as needed</li>
<li>Support systems during school year end activities and annual rollovers</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in computer science, electrical or electronics engineering, Information Systems, Systems Engineering, or equivalent degree</li>
<li>Experience administering complex systems/integrations such as Canvas LMS, SIS, Clever Integrations</li>
<li>Strong technical aptitude required to learn new systems, processes, and backend reporting</li>
<li>Experience developing open standards-based solutions: web services, web applications, and modern user interfaces</li>
<li>Significant, demonstrable experience implementing features across the software development team and development environment</li>
<li>Ability to be a self-starter and work in a fast-paced environment solving challenging problems in designing, writing, editing, modifying, and debugging code focused on automating manual tasks</li>
<li>Exceptional oral and written communication skills</li>
<li>Understanding of relational databases and proficiency with SQL</li>
<li>Experience with message queue technology and design patterns</li>
<li>3+ years of experience with NodeJS</li>
<li>3+ years of experience with JavaScript</li>
<li>Familiarity with services within Amazon Web Services, i.e. S3, Lambda, SNS, SQS, EC2, CloudFront, Redshift</li>
<li>Experience with Amazon Web Services API</li>
<li>Experience with Git version control</li>
<li>Experience with Unix/Linux environment</li>
<li>Experience with ticket tracking, resolutions to support end users.</li>
<li>Ability to pass federal and state criminal background checks (FBI/BCI)</li>
</ul>
Additional Preferred Qualifications:
<ul>
<li>Ability to think independently and contribute to the overall effort without much direction</li>
<li>Ability to work well within a team environment</li>
<li>Ability to work well under pressure</li>
<li>Experience administering training platforms</li>
<li>Experience with NoSQL document databases, e.g. MongoDB</li>
<li>Desired experience with AWS CDK</li>
</ul>
Compensation and Benefits: The compensation and benefits information below is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

The annual starting salary for this position is between $95,000 &ndash; $105,000 annually. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

We offer the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, 10 paid holidays annually.

Paid Time Off: Paid Time Off to cover sick, vacation, and personal absences.

We offer 4 unique health insurance plans to choose from that cover a wide range of deductibles and co- insurance levels. Our goal is to provide you with maximum choice in finding a plan that meets you and your family's needs. Employees can choose from co-pay or High Deductible Health Plans.

EQUAL EMPLOYMENT OPPORTUNITY

It is our policy to abide by all federal, state and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental and/or intellectual disability, age, military status, veteran status (including protected veterans), marital status, registered domestic partner or civil union status, familial status, gender (including sex stereotyping and gender identity or expression), medical condition, genetic information, sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.

#LI-AB1</div>

Product Operations Engineer

Amphenol

<div>Position: Senior Product Development Engineer
Location: Etters, PA
Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. We have design, sales, and manufacturing locations globally and are currently seeking a Senior Product Development Engineer to join our High Speed IO Connector &amp; OverPass Solutions team located in Etters, PA.
RESPONSIBILITIES:
The Sr. Product Development Engineer will be responsible for concept generation, design, verification and qualification of High Speed IO products for 112Gb signaling and beyond. The position provides opportunity for close customer interaction. You will also work with internal and external suppliers and manufacturing personnel, supporting the development and validation of product prototypes through pilot production, as well as interfacing with beta-site customers.<ul><li>
Conceptualize, design, and develop cable assemblies and/or IO connector systems from initial proposal to successful tooling and product qualifications.</li><li>
Perform Design FMEA, Tolerance Analysis, Design for Manufacturability, FEA Analysis, and Risk Analysis.</li><li>
Work with Marketing and the customer to define customer needs and functional performance requirements. Assess technical risk.</li><li>
Work with internal and external (vendor) manufacturing disciplines including Stamping, Plating, Molding, and Assembly to optimize design for production processes.</li><li>
Lead product design reviews.</li><li>
Verify accuracy of product drawings and ensure proper usage of Geometric Dimensioning and Tolerancing.</li><li>
Work with Materials Engineering to define metal and polymer material choices based on requirements associated with performance, pricing, and global sourcing.</li><li>
Present product concepts to customers early in development cycle, interpret feedback, and incorporate any revised requirements into the design.</li><li>
Define Product, Application, and Packaging specifications.</li><li>
Define a verification and product qualification test plans.</li><li>
Manage the resolution of first article inspections.</li><li>
Work closely with NPI and manufacturing engineering to ensure products are transitioned to the manufacturing</li></ul>
QUALIFICATIONS:<ul><li>
5 to 10 years' experience in electro-mechanical design is required
</li><li>Bachelor of Science degree in a Mechanical or Electrical discipline, or equivalent engineering course work and related experience required.</li><li>
Experience and skilled use of Solid Works, FEA simulation software (ANSYS preferred), Geometric Dimensioning and Tolerancing principles, and Statistical Engineering methods.</li><li>
Ability to work effectively within a project team and to direct the activity of others.</li><li>
Ability to communicate well with Global Customers.</li><li>
Industry standards knowledge and experience is preferred</li><li>
Familiarity with high speed cable assembly and/or connector design preferred.</li><li>
Knowledge and experience with design for signal integrity performance is preferred.</li></ul></div>

Senior Product Development Engineer

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