Manufacturing engineer jobs in Islip, NY - 1,318 jobs

At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale. The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large‑scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert‑level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $195,000 - $215,000 P4: $230,000 - $250,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision & Mission Our vision is to unlock a labor market built on trust. Our mission is to build confidence in every compensation decision. Equal Employment Opportunity As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. #J-18808-Ljbffr

Chronograph was founded to bring next-generation technology to private capital markets. Our cloud-based analytics and data management suite empowers top venture capital, private equity, and credit funds worldwide to analyze their investment performance in detail, with over $20 trillion of AUM monitored via our solution suite. At Chronograph, we have the unique opportunity to work with investors who are driving some of the most impactful changes in start-ups, global infrastructure, renewable energy, and growth equity. With backing from The Carlyle Group, Nasdaq Inc., and Summit Partners, Chronograph has grown rapidly since its inception in 2016. The Opportunity As a key member of our team, you will lead and deliver projects from concept to production; driving core technical direction while working closely with key stakeholders. Our engineering teams collaborate daily with product managers and designers to build exceptional software. An ideal candidate for this role will have both sharp technical skills and a keen product sensibility. You'll join a highly-driven team of engineers, contributing both as a technical leader and a hands-on full-stack developer. Our platform handles critical financial data, offering extensive workflow and data analysis tools along with an innovative data ingestion platform. This is an opportunity to make a real-world impact: you will tackle challenging technical problems and contribute to a platform relied upon by leaders in the private equity space. Even if you do not meet all criteria, we encourage you to apply! Chronograph offers an open and supportive environment where all are encouraged to grow and learn through their work. As a Tech Lead at Chronograph, you will: Own and lead technical projects from product ideation to successful execution, including: technical decisions, architectural designs, data structures, and development approach Collaborate with engineering, product, and design to architect high-performance and user-centric features to drive direct client impact among leaders in the private equity space Champion platform reliability and data integrity while maintaining development velocity, making thoughtful decisions that advance both technical quality and product outcomes Mentor and provide guidance to engineers across all levels, with opportunities to grow into direct people management, fostering a culture of continuous learning and developing future technical leaders Identify new technologies and best practices to promote a culture of continuous improvement You will be successful in this role if you have: At least 9 years of professional development experience, with a proven track record of leading complex technical projects Expertise in Typescript, Node, PostgreSQL and GraphQL, in particular schema and API design Fluency in frontend frameworks and patterns such as React and React Query Aptitude for navigating ambiguity and designing solutions that account for cross-system implications-spanning data models, validations, application logic and user workflows Excellent leadership and communication skills, with demonstrated ability to drive consensus across stakeholders and distill complex technical concepts for diverse audiences A track record of balancing technical solutions with business outcomes, making thoughtful tradeoffs that serve both immediate needs and long-term platform health Nice-to-haves: Background in building computation-heavy services where accuracy and performance are imperative Experience expanding complex data models to fit evolving application use cases Passionate about emerging tools that improve developer velocity, including AI-assisted coding Why Join Chronograph? We value creativity, open communication, and cutting edge technology - and we try to have fun along the way. We want you to be happy here for the long-term and will work with you to ensure you're achieving your career goals. We offer: Equity Participation Flexible work arrangements (including remote / in person / hybrid) 401(k) Unlimited and flexible vacation Company-wide team events at our Brooklyn, NY headquarters three times a year for all employees Fully-paid parental leave ...and more! Chronograph is committed to promoting a diverse and inclusive culture, and we welcome applicants from all backgrounds. If you're a team player who wants to have an outsized impact in a dynamic and diverse environment, we'd love to hear from you! Salary Range (dependent on experience) $185,000 - $245,000 USD #J-18808-Ljbffr

Role - Mechanical Design Engineer (Plastics) Salary - $80,000 - $105,000 per year (dependent on experience) Type - Permanent My client is a well-established manufacturer and product development business specializing in engineered components and assemblies. They are looking to add an experienced Mechanical Design Engineer with a strong background in plastic materials to support the design, development, and optimization of plastic parts used across their product range. This is a design-focused role working closely with manufacturing, tooling, and quality teams to deliver robust, production-ready plastic components from concept through to release. The Mechanical Design Engineer will have the following attributes: 3+ years of experience as a Mechanical Design Engineer with a focus on plastic component design. Strong understanding of plastic materials, properties, and selection (e.g. ABS, PC, Nylon, PP, reinforced plastics). Hands-on experience designing injection-molded plastic parts and assemblies. Proficient in 3D CAD software such as SolidWorks, Creo, or Inventor. Experience producing detailed engineering drawings, tolerances, and GD&T. Good knowledge of DFM/DFA principles for plastic manufacturing processes. Detail-oriented with strong problem-solving and communication skills. Comfortable collaborating with cross-functional engineering and manufacturing teams. The Mechanical Design Engineer's role will involve: Designing and developing plastic components and assemblies from concept through production. Selecting appropriate plastic materials based on performance, cost, and manufacturability. Creating 3D models, detailed drawings, and BOMs to support manufacturing. Collaborating with tooling suppliers on mold design, reviews, and first-article approvals. Supporting prototyping, testing, validation, and design improvements. Working closely with manufacturing and quality teams to resolve production issues. Contributing to continuous improvement and design standardization initiatives. For more information about this Mechanical Design Engineer opportunity, please apply, or email Jack Smillie at *******************, who will be able to provide more details on the position. Many thanks, Premier Group

Data Device Corporation (DDC) invites you to explore career opportunities with a world leader in high-reliability connectivity, power, and control solutions for the Aerospace, Defense, and Space industries. Our dedication to quality products, on-time delivery, and superior support supports critical missions for our customers. This position is 100% onsite at our Bohemia, NY office with occasional travel to manufacturing location in Mexico. The pay range for this position is between $120,000 and $150,000 annually, and we will rely on previous experience. This position requires a U.S Person or a person who can qualify for a Department of State or Department of Commerce License. Position Summary: The Senior Design Engineer is responsible for developing new magnetics related components based on customer or marketing inputs. They shall have working knowledge of transformer design, property of materials, electrical testing, and design for manufacturability. Performance will be measured on creating designs that meet or exceed customer requirements, timely transition of new designs from concept to production readiness, collaboration with production in suggesting and implementing productivity projects. Key Position Accountabilities: Design and Development: Plan, conceptualize, and develop new magnetics components using new and innovative technology. Design analog circuits related to high frequency data bus and video signal transmission. Provide material and labor estimates to Sales for customer requests for pricing. Equipment and Materials Research: Actively seek out opportunities improve existing processes by keeping up with new equipment and material releases. Seek out ways to integrate new equipment and materials to improve productivity. Collaboration: Work closely with engineers, managers, and other design professionals in the development of prototypes, sustaining efforts, and integration of systems into manufacturing processes. Support the transition of designs from concept to prototype and to full-scale production. Mentoring and Design Review: Coach junior engineers in solving design issues. Responsible for project management of Design Reviews. Testing and Validation: Create, review, and verify test setups. Support the execution of testing procedures required for product acceptance and qualification. Collaborate with internal and external facilities to validate design performance against defined specifications. Engineering Analysis: Perform calculations to support CapEx return on investment decisions. Material Selection and Development: Choosing the right material for a specific application, considering factors like strength, durability, cost and environmental impact. Documentation and Compliance: Create, review, and maintain technical drawings, specifications, and product documentation using a mix of CAD (SolidWorks preferred), MS Word, and digital images. Ensure designs and processes meet industry and regulatory standards, including internal engineering standards and product definition procedures. Continuous Improvement: Apply problem-solving skills to identify areas of improvement in existing designs or manufacturing processes, making recommendations and providing solutions to enhance efficiency, quality, and cost-effectiveness. Failure Analysis: Ability to assist QA Department with technical support for internal and external CARs. Required Knowledge, Skills and Abilities: Mathematical and Analytical Skills: Strong ability to apply engineering fundamentals, and statistical methods to create innovative, reliable, cost effective design solutions that translate into more design wins. Design Skills: Strong knowledge of electromagnetic theory, magnetic circuit design, and magnetic material properties. Analog Circuit Design: Working understanding of analog and digital electronics, signal integrity, power and thermal management is a plus. Simulation experience with LTspice or similar is a plus. Problem Solving and Innovation: Excellent troubleshooting and critical thinking skills with the ability to propose innovative and creative solutions to complex design challenges. Communication Skills: Strong verbal and written communication skills, with the ability to present technical information clearly to both technical and non-technical stakeholders for internal and external customers. Excellent interpersonal skills to work collaboratively across teams. Bilingual in English and Spanish is beneficial. Adaptability: Ability to work on several projects at once and shift priorities as needed to meet company goals Attention to detail: High attention to detail with the ability to conduct rigorous reviews of designs, calculations, and test procedures to ensure compliance with specifications and quality standards. Printed Circuit Board Design: Ability to design and convert schematics into PCB layout drawings using OrCAD, Mentor, Altium, or similar is a plus. Qualifications: Bachelor of Science degree in Engineering discipline required. Bachelor's or Master's Degree in Electrical Engineering preferred 7+ years of related experience. Working Knowledge of Military Specifications. Experience in Military/Aerospace industry a plus. This position operates in a mix of office, manufacturing, and lab-based environment. Some travel may be required for process review at other manufacturing plants or supplier locations. Physical Demands: Must be able to remain stationary during design and analysis sessions. Having good manual dexterity and basic soldering / assembly skills to assist in building test and assembly fixtures is a plus. Ability to lift and move up to 25 pounds of testing or prototyping equipment. Frequent communication with cross-functional teams; ability to convey complex technical details clearly and effectively. This is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. This job description indicates, in general the nature and levels of work, knowledge, skills, abilities and other essential functions (as covered under the ADA) expected of the incumbent. Duties, responsibilities and activities may change at any time with or without notice as required. Data Device Corporation is an Affirmative Action/Equal Opportunity Employer and is committed to providing equal employment opportunity (EEO) for all persons in all facets of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, gender, sexual orientation, gender identity, national origin, citizenship status, marital status, genetic information, disability, protected veteran status or any other legally protected status. #J-18808-Ljbffr

We're assisting a well-funded startup with their search for Product Engineers. Their product is a redeveloped go-to-market workflow that allows sales teams to find warm leads in a more efficient way. This role will be a hybrid role, working onsite Tuesday-Thursday in either their SF or NYC office. They're hiring multiple engineers in this capacity. What you'll do You will own a large scope and be shipping features that makes our customers more successful and the product a delight to use. You will work both across our frontend and backend and own shipping new features end-to-end. Shape both our product roadmap and engineering foundation working with a highly collaborative product, design and engineering team Build new products using the latest tech such as LLMs, React, TypeScript, Vercel, Prisma (PostgreSQL), Temporal, and more. What you'll bring 1+ years of experience in full-stack software engineering with experience shipping lots of features to respected SaaS products Has shipped significant product features in past roles Previous experience as an early startup employee (founder, founding team), an engineer at a reputable and rapidly growing scale up, or as a rapidly promoted engineer at a large tech company Frontend experience (Typescript, React) Backend experience (Node) You are customer-obsessed, creative and hungry. You have experience working closely with customers and quickly shipping features and improvements to help them. Strong interest in building an AI/LLM centric product/features #J-18808-Ljbffr

Join our mission We're proud to work with many incredible companies, accelerating their ability to build their products. We've spent years watching talented engineering teams lose momentum to the same frustrating bottleneck: waiting. Waiting for CI to finish. Waiting for builds to complete. Waiting for tests to run. After experiencing this pain firsthand at companies of every size, we set out to build the developer infrastructure platform we'd always wanted to use. Something that would seamlessly integrate with our workflows and the tools teams already love-but make everything dramatically faster and more cost-effective. Today, we're already accelerating hundreds of companies around the world, helping them ship features instead of waiting for infrastructure. We've built something that feels almost magical in its simplicity: change your runs‑on line, mount your toolchain cache directory and suddenly your builds are 5x faster. About the role Namespace's approach is low-friction, designed for immediate integration into existing developer toolchains, empowering teams to experience tangible results within just five minutes. With an end‑to‑end stack optimized for high performance-including compute, memory, storage, and networking-Namespace delivers capabilities and efficiencies unmatched by traditional cloud providers. As the Product Engineering Lead for Namespace in the US, you'll establish the US presence for Namespace. Apart from building a high performing team, you'll also lead technical decisions and develop products that significantly enhance developer productivity. You'll build intuitive, performant user‑facing applications and integrations that seamlessly fit into developers' existing workflows, directly impacting their ability to ship faster and more efficiently. What you'll do Serve as the first technical leader for our US presence, setting a high bar for engineering quality, product thinking, and execution Start, build, and lead a small product engineering team in the US Partner closely with product, design, and leadership to translate company goals into clear technical direction and execution plans Act as a bridge between the team in Europe, users, product strategy, and engineering, ensuring we build the right things and build them well Help shape the long‑term technical and organizational foundations for scaling product engineering Own and ship end‑to‑end features that integrate seamlessly with popular developer tools Develop user‑facing applications that make powerful infrastructure intuitive and accessible to developers Collaborate directly with users and partners to deeply understand their workflows, pain points, and product needs Continuously iterate on product design and implementation to drive adoption, performance, and reliability What we're looking for Leadership and management skills to lead high performing ICs Strong software engineering fundamentals, with experience building production‑grade software in languages like TypeScript/JavaScript (React), Go, Python, or similar Proven track record shipping impactful product features, preferably for developer‑focused or infrastructure products Customer‑centric mindset with the ability to translate complex technical solutions into intuitive user experiences Enthusiasm for continuous learning and a collaborative approach to product development You can expect: Competitive salary and stock options Flexible working hours Market‑leading parental leave Life at Namespace Labs: We pride ourselves in being a small team of experts that can achieve a lot. We balance our long‑term vision with short‑term pragmatism. We believe in being fully transparent internally on how decisions are made, on how the company is doing, and we use that information to drive our decisions. #J-18808-Ljbffr

A biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy**Lead Product Engineer (Full Stack), Materia AI page is loaded## Lead Product Engineer (Full Stack), Materia AIremote type: Hybridlocations: United States of America, Brooklyn, New Yorktime type: Full timeposted on: Posted Todayjob requisition id: JREQ197053**Lead Product Engineer (Full Stack), Materia AI** **Innovate in a Startup-Like Environment** Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You'll join a team of top engineers and AI developers, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Accounting team, formed from the recent acquisition of the startup Materia.**Create Impactful, AI-Driven Experiences** Lead full stack initiatives-from React interfaces to Python-based AI services and APIs. You'll architect and implement complete features that bring generative AI capabilities to life, alongside core product capabilities that streamline and modernize accounting workflows. Crafting both the user-facing experiences and the intelligent systems that power them, your work will shape how thousands of accounting professionals leverage AI and modern software in their everyday workflows. **Collaborate Across Functions** Work closely with product managers, designers, and AI specialists to deliver elegant, high-performance features. Your ability to translate complex requirements into complete solutions-beautiful interfaces backed by robust APIs and services-will be key to our product's success. **About the Role:** In this role as a Lead Product Engineer, you will: Develop Own complex, 6+ month projects from beginning to end, including ideation, working with cross-functional partners in product and UX, testing, launching, measuring impact, and iteration. Design, build, and maintain generative AI products such as Conversations, Accounting Research, Ready to Advise, and Workspaces Build engaging front-ends using Next.js, TypeScript, and Tailwind CSS Develop robust back-ends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration Identify bottlenecks and optimize for speed, scalability, and responsiveness across the full stack Collaborate & Lead Serve as a product leader for full stack projects through making prioritization decisions, scoping out timelines, guiding the work of product and backend engineers, and collaborating with cross-functional partners. Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns Set and enforce team-wide frameworks, best practices, code quality and best practices for both front-end and back-end development Champion UI/UX Excellence Apply strong design sensibilities to deliver polished, accessible, and user-centric interfaces. Proactively collect feedback from end users and internal stakeholders, and iterate accordingly **About You:** You are a fit for a Lead Product Engineer (Full Stack) if your background includes: Experience & Skills 7+ years building web applications at scale, with practical experience in both front-end and back-end development (we welcome engineers who are stronger in one area but capable in both) Passion for UI/UX and product design - enjoy refining details that matter to users Self-driven with a proactive approach to problem-solving and prioritization Experience building new products or features from 0 to 1 or from ideation to release Excellent debugging skills and an eye for performance optimization Strong leadership and cross-functional collaboration abilities Bonus Points Bachelor's degree in Computer Science, HCI, or related field Experience working in a startup or similar fast-paced setting. Experience building Chatbot interfaces or other AI-native products Familiarity with large language models (LLMs), AI agent design, and/or prompt engineering Opinionated about testing methodologies, A/B testing, and safe rollouts #LI-TH1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations #J-18808-Ljbffr

A leading technology firm in San Francisco is looking for a Site Reliability Engineer to design and manage scalable infrastructure solutions. You will ensure high performance and availability while collaborating across teams. Candidates should have at least 5 years of experience, strong coding skills, and familiarity with various cloud services and automation tools. Join us in a culture of continuous improvement and innovation. #J-18808-Ljbffr

ALLSIDES is redefining how the world experiences 3D content. Focus on deep-tech with offices in Italy and New York, we combine physically accurate scanning and generative AI to power new content creation workflows for e-commerce, virtual environments, and immersive experiences. Our clients include global brands like adidas, Meta, Inditex, Amazon, Zalando, Nike and more. As a research-driven startup, we operate at the forefront of 3D machine learning and visual computing. Using our own scanners, we've built one of the world's largest datasets of photorealistic, relightable 3D assets with accurate ground truth-capturing at production scale (tens of thousands annually) while simultaneously training next-generation AI models. Meta uses our scanning technology for their HOT3D dataset (ECCV 2024). We collaborate with Prof. Cremers at TU München, Prof. Rother at Heidelberg University's Computer Vision Lab, and are advised by Prof. Pietro Perona from Caltech. As a research-driven startup and NVIDIA Inception member, we operate at the forefront of 3D machine learning and visual computing. More info about us and our technology here spotlight at NVIDIA A.I. ***************************************************** Position Overview We are looking for a 3D Machine Learning Engineer with deep expertise in neural rendering, inverse rendering, and generative 3D methods. You will develop learning-based systems that recover high-fidelity geometry and physically-based materials from captured imagery-pushing the boundaries on relighting, material decomposition, and generative reconstruction. This role sits at the intersection of deep learning and graphics. If you want to ship neural 3D systems at production scale while advancing the state of the art, this is for you. Key Responsibilities Build and optimize neural inverse rendering models for geometry and material estimation. Develop relighting and appearance decomposition pipelines using differentiable rendering techniques. Explore generative reconstruction approaches: diffusion-based 3D, feed-forward reconstruction networks, neural scene representations. Tackle challenging scenarios: specular and transparent surfaces, thin structures, complex BRDFs. Write clean, production-ready code and iterate on model quality and inference speed. Work with rendering specialists and system developers to integrate learned components into the pipeline. Engage with enterprise clients to gather requirements and iterate on capabilities. Stay current with CVPR, SIGGRAPH, and related research; identify methods to bring into production. Qualifications Required Master's degree in Computer Science, Computer Vision, Computer Graphics, or a related field. 3+ years of industry experience, preferably in deep-tech or applied ML. Proven track record in neural 3D: NeRF variants, Gaussian splatting, neural inverse rendering, or material decomposition. Experience with differentiable rendering frameworks (Mitsuba, nvdiffrast, PyTorch3D, or similar). Solid understanding of physically-based rendering fundamentals. Proficiency in Python and PyTorch. Demonstrated ability to take models from research to production. Nice to have Experience with generative 3D models (diffusion-based reconstruction, latent 3D representations). Background in classical computer vision: SfM, multi-view geometry, mesh processing. Experience with C++ in performance-critical pipelines. Familiarity with CUDA and GPU optimization. Experience with TensorRT, ONNX, or MLOps practices for model deployment. Published research or open-source contributions in neural rendering or 3D ML. Competitive salary package including stock options. Amazing office space in the Italian Dolomites. Personal and professional growth: own critical parts of our pipeline and help us scale. Flexible working hours and work-from-home policy (1 day/week). Participate in CVPR, SIGGRAPH, and AI/startup conferences globally. Relocation assistance and visa sponsorship. FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). You don't have to tick every box to apply, your drive and passion matter most! If you're curious, motivated, and ready to learn, send your application to ********************* with your CV (PDF). #J-18808-Ljbffr

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub‑systems for high‑performance radio frequency (RF) and microwave applications. With design, sales and manufacturing locations in over 30 countries, Mini‑Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement and imaging applications, including military communication, guidance and electronic countermeasure systems, commercial, scientific, military land, sea and aircraft; automotive systems, medical systems, and industrial test equipment. Mini‑Circuits' sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, sales representatives, as well as through our extensive website. Position Summary: The Reliability Engineer is responsible for conducting reliability studies of existing products and coordinating new product qualification prior to market release. The candidate will work in collaboration with various teams including Reliability, Design Engineering, Product Engineering, Failure Analysis and Project Management teams. Salary Range: $99,000 - $117,000 per year Job Function: Participate in the product development meetings and guide the team to develop reliable products that meet internal specifications and customer requirements. Develop qualification plans for new products, primarily MMICs but also support other product lines including but not limited to Low Temperature Co‑Fired Ceramics, PCBA products, RF accessories and Core & Wire Products. Analyze new products for similarity with existing released products in terms of package, die process and design to determine Qualification by Similarity, thus streamlining qualification testing. Design and execute both device level and package level qualification tests including but not limited to MSL pre‑conditioning, Thermal cycling, UHAST, HTSL, ESD and Life Tests. Define ESD Human Body Model (HBM) and Charged Device Model (CDM) tests as per JEDEC standards. Collaborate with Engineering Test Teams to execute Accelerate Life Tests, High Temperature Operating Life Test. Execute Mechanical stresses such as Vibration, Mechanical Shock, Constant Acceleration & Bend Testing. Co‑ordinate with external labs for outsourced tests. Review RF Test data before and after stresses to analyze changes in performance. Collaborate with Failure Analysis teams to understand the root cause of failures. Identify and record any non‑conformities. Monitor solution implementations to verify effectiveness of corrective actions. Ensure On‑Time Completion of Qualification activities and escalator any potential delays. Present Qualification results with all relevant stakeholders to help Design teams initiate changes to improve reliability performance. Prepare written reports summarizing the results of product performance and failure analysis for both internal purposes as well as customer review. Interface with customers and suppliers on product reliability as required. Interface with supplier to purchase lab equipment. Support reliability assessments originating from production of released products or customer returns. Makes decisions within area of specialty, manages medium to large projects. Promotes ISO9001/AS9100 Quality. The duties, responsibilities and expectations described above are not a comprehensive list and additional tasks may be assigned to the member, within the scope of the position. Qualifications: BS in Mechanical Engineering, Electrical Engineering, Materials, Reliability, Industrial Engineering or Physics. Advanced degree preferred. 3‑5 years' experience as a Reliability Engineer in Semiconductor or equivalent industry. Familiarity with common industry standards including JEDEC, MIL‑STD‑883, MIL‑STD‑202 and AEC‑Q. Experience with Reliability Qualification by Similarity. Experience with Environmental, Mechanical and ESD stresses. Experience with problem solving methodologies and leading root cause analysis. Experience with customer returns failure analysis support. Must have familiarity with failure analysis techniques including Scanning Acoustic Microscopy (SEM), Radiographic Inspection (X‑Ray), Cross‑Section methods. Familiarity with MTTF, MTBF Calculations. Experience with Reliability prediction modeling and tools like Weibull++ (or equivalent reliability software) Experience with Data analysis tools including Advanced Excel, JMP, Minitab. Ability to analyze component performance data in reliability tests, including large variety of test parts and multiple design variations. Experience with Design of Experiments, FMEA, product design reviews and DFM. Excellent written and oral communication skills. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills: Ability and willingness to abide by Company's Code of Conduct. Occasional travel, some overnight, as required (up to 10%). Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini‑Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini‑Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

A growing tech company in Chicago is seeking a versatile Product Engineer to own projects from start to finish. The ideal candidate is comfortable with a wide range of tasks and will collaborate closely with product teams to implement features. This role offers a fast-paced environment, automated tooling, and opportunities to influence product design. Benefits include competitive salary, unlimited PTO, and a strong commitment to diversity. #J-18808-Ljbffr

Zora is a new kind of on-chain social network where you can express yourself freely, connect with others, and discover the value of your imagination. We believe that by using crypto, we can enable a more equitable system for creators, fundamentally rediscovering the power of the internet. About The Role: We're looking for an experienced protocol engineer to join our Trade team, building the experiences that power hundreds of millions in on-chain volume on Zora. In this role, you'll be responsible for designing, implementing, and maintaining the core smart contracts contributing to the evolution of Zora's protocol layer. You'll build protocol components for onchain trading/market infrastructure on Zora with creator markets, Uniswap integration, and various vesting and rewards contracts, with safety and UX constraints aligning with Zora's needs What You'll Do: Contribute to the Zora protocol by designing and implementing smart contracts Handle maintenance, security review, and full protocol lifecycle Write adversarial tests (fuzzing, invariant/property-based testing) and maintain a security-first mindset in development and review Partner with auditors and respond to findings; drive fixes through deployment Participate in RFC and code review process with a security and reusability mindset Collaborate across engineering teams to integrate smart contracts across the stack Communicate status, updates, blockers, etc., to cross-functional stakeholders What We're Looking For: 4+ years of experience shipping production-level contracts or protocol features Experience with DeFi protocols Deep understanding of EVM Familiarity with Git, Foundry, Hardhat and modern solidity toolchains Experience with formal/invariant thinking, MEV considerations, upgrade safety, and incident response Comfort moving across the stack when needed (TypeScript / React / Next / Python) High degree of ownership and autonomy Strong communication and collaboration skills, across both technical and non-technical teams Here's the Pay Range: At Zora, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: Pay Range: $200,000 - $300,000 base salary + equity + tokens This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Zora will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process. Zora is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation. Why Join Us? US-based, full-time employees are eligible for the following: Remote-First Culture:Work from anywhere in the world! Competitive Compensation:Including salary, pre-IPO stock options, token compensation, and additional financial incentives Comprehensive Benefits:Robust healthcare options, including fully covered medical, dental, and vision for employees Retirement Contributions:Up to 4% employer match on your 401(k) contributions Health & Wellness:Free memberships to One Medical, Teladoc, and Health Advocate Unlimited Time Off:Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness Home Office Reimbursement:To cover home office items, monthly home internet, and monthly cell phone (if applicable) Ease of Life Reimbursement:To cover everything from an Uber home in the rain, childcare, or meal delivery Career Development:Access to mentorship, training, and opportunities to grow your career Inclusive Environment:A culture dedicated to diversity, equity, inclusion, and belonging Our Location: Zora is remote-first and international. Our headquarters are the internet and we have employees all over the world. We're currently in Los Angeles, New York, San Francisco, Sydney, Berlin, Lisbon, and Vancouver. Zora is a decentralized, on-chain social network where every post and profile is a tradable token, aiming to create a new creator economy. It allows creators to monetize their content directly by turning posts into unique, tradable ERC-20 tokens, which can be bought, sold, and collected. #J-18808-Ljbffr

A client of Insight Global in the Bronx, NY is seeking a Production Engineer to join their team! This individual will be responsible for leading manufacturing improvements by optimizing packaging line performance and minimizing downtime through data-driven analysis. Must partner with cross-functional teams to implement sustainable process enhancements and uphold quality standards, as well as applying Lean Six Sigma methodologies to drive efficiency and support continuous improvement. This is an onsite position; candidates are required to be onsite 5 days per week. Required Skills & Experience 5-7 years of experience as an engineer in a manufacturing environment Bachelor's degree in engineering (mechanical, chemical, or biomedical preferred) Experience partnering with cross functional teams Strong understanding of Lean and Six Sigma principles

We are seeking a highly motivated Process Engineer to lead and support our assembly operations with a strong focus on process optimization, automation, and Lean manufacturing. The ideal candidate will play a critical role in driving operational excellence, improving assembly line performance, and leading continuous improvement initiatives to enhance safety, quality, delivery, and cost. Responsibilities Develop and optimize assembly processes, ensuring alignment with quality, productivity, and cost targets. Identify and implement automation opportunities (robotics, vision systems, material handling, etc.) to increase efficiency and reduce manual labor. Collaborate with cross-functional teams including design, quality, maintenance, and operations to launch new products and processes into production. Facilitate continuous improvement initiatives using Lean tools such as Kaizen, 5S, Standard Work, SMED, Value Stream Mapping, and Root Cause Analysis. Analyze and resolve process issues through structured problem-solving (e.g., DMAIC, 8D, PDCA). Develop and maintain process documentation, including work instructions, process flow diagrams, PFMEAs, and control plans. Monitor KPIs such as cycle time, OEE, scrap, and downtime; identify trends and take corrective actions. Champion Lean culture within the organization by training, mentoring, and engaging team members at all levels. Evaluate new equipment and technologies; develop business cases and support capital projects from concept through implementation. Ensure compliance with safety, quality, and environmental standards in all process engineering activities. Qualifications Bachelor's degree in Mechanical, Industrial, or Manufacturing Engineering or related field. 2+ years of experience in process or manufacturing engineering, preferably in a high-volume assembly environment. Knowledge of assembly tooling, fixtures, and workstations. Proficiency in using engineering tools such as AutoCAD/SolidWorks, Excel (advanced), and statistical analysis software (e.g., Minitab).

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Research team As an audio data research company, we believe model capabilities come from high quality, differentiated data. David AI's research team performs ambitious, long-term research into audio capabilities, while working with internal and external stakeholders to productionalize the latest research insights. About this role As a Founding Audio AI Research Engineer, you'll define the research agenda that shapes how the world's best AI labs train their audio models. You'll have a world‑class workforce of human AI trainers, compute resources, and independence to drive your roadmap. In this role, you will Define and build comprehensive evaluation frameworks for audio AI capabilities across speech, emotion, conversation dynamics, and acoustic patterns. Research and prototype novel approaches to audio quality assessment, automated labeling, and data collection optimization. Design targeted data collection pipelines for novel, high-value audio capabilities Architect automated systems for continuous classifier improvement and prompt engineering evaluation. Evaluate frontier models and create actionable research directions. Publish findings and papers in top conferences. Your background looks like 3+ years of experience in AI/ML research or engineering, preferably with multimodal models Proven ability to translate research insights into production systems and scalable solutions. Experience with Python and PyTorchExperience designing and conducting rigorous ML experiments and evaluations. Bonus points if you have PhD or Masters in Computer Science or a related field with a focus on ML or audio/speech. Published research work in top‑tier CS, AI and/or audio‑related conferences. Strong record of publication in evaluations or data, particularly for audio/speech. Experience in large scale data processing or high performance computing. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr

Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp's growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Bridgewater and LinkedIn. Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We're building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they're looking for a solution. We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We're a high energy, high intensity team and we've raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works. About the Role Unify is redefining go-to-market with state-of-the-art AI. As a Senior SRE, you'll tackle the scaling and reliability challenges that come with adding terabytes of data monthly and supporting enterprise customers with demanding uptime requirements. You'll work across the stack-optimizing databases, hardening services, and building the automation and observability that keep Unify fast and reliable at scale. What You'll Do Scale our data infrastructure: Optimize and extend our ClickHouse and PostgreSQL deployments-designing partitioning strategies, tuning queries, and improving replication and failover systems. Improve system performance: Profile and optimize critical paths across backend services, identify bottlenecks in data pipelines and API layers, and ship changes that improve latency and throughput. Build for reliability: Implement rate limiting, circuit breakers, graceful degradation, and other patterns that keep the platform stable under load and during partial failures. Automate everything: Write tooling that eliminates toil-automating deployments, scaling operations, backup verification, and incident remediation. Instrument and observe: Build out distributed tracing, metrics, and alerting that give engineers clear visibility into system behavior and accelerate debugging. Respond and learn: Participate in on-call rotations, run incident response, and drive blameless postmortems that prevent recurrence. Who You Are 5+ years of software engineering experience with a strong backend foundation, including 2+ years focused on reliability, infrastructure, or platform work. Hands‑handon experience operating databases at scale including query optimization, replication, and failover. Strong programming skills (Typescript, Python, Go, or similar) with experience building automation and tooling. Able to diagnose complex distributed systems issues under pressure and communicate clearly during incidents. Collaborative, low-ego attitude and desire to work in a fast‑paced environment. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation's leading technology system integrators serving clients in corporate, education, healthcare and government industries. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Electronic Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Tampa and Washington DC. The AV Design Engineer will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs for new and current customers. Additionally, you will provide engineering support to our technical staff for design/build engagements. Responsibilities Lead the development of preliminary system design drawings, construction documents, equipment specifications and cost proposals. Work with our business units and end users to lead the technology design and discussion, analyze current client technology, listen to goals and challenges to help achieve desired outcomes. Create sales proposals in coordination with Estimating team for clients. Work with Program Manager and Project Team to verify system functionality through out implementation process. Develop and maintain knowledge of current and new technologies. Provide sales and technical staff with lessons learned on both a pre and post sales basis. Qualifications: Minimum 5 years working experience in the audio-visual or electronics field Preferred experience in the architectural or construction design space CTS and CTS-D certification preferred Proficiency in CAD and Microsoft Office Suite Ability to manage multiple tasks and priorities Ability to create architectural plans and modify architects' drawings to incorporate into systems. Excellent written and verbal communication skills with internal and external stakeholders TRITECH is an Equal Opportunity Employer