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S. government issued security clearance is required prior to start date. S. citizens are eligible for a security clearance Security Clearance:
Secret - Current At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We are involved in all phases of design, development, production, and maintenance of Low Observable (LO) antenna and Active Electronically Scanned Arrays (AESA) systems. We are currently looking for Stealth / Low Observable / Radar Cross Section (RCS) / Signature Management / Survivability Engineers to work on challenging, state-of-the-art technical projects.
Raytheon's Apertures and RF Department is seeking a Principal Antenna Design Engineer to join the Radome & Apertures team in McKinney, Texas.
The selected candidate will work with various teams of engineers and scientists with backgrounds in AESAs, Antennas, Radomes, Computational Electromagnetics Modeling (CEM), RF Test, Mechanical, Structural and Thermal analysis, Material Science, Process and Manufacturing Engineering and survivable antenna technology.
The ideal candidate for this role will enjoy both theoretical design and hands-on engineering tasks. This position requires job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.
Responsible for the hands-on design and realization of LO antennas, phased array antennas and passive RF components.
Use computational electromagnetic analysis software to design and predict performance on various types of antennas and apertures (spiral, sinuous, Vivaldi, patch, slot, horn, ultra-wideband tightly coupled dipole arrays, etc.).
Support customer programs through modeling and simulation of LO antennas or RF components/systems and leading teams that perform these functions.
Provide technical solutions to a wide range of difficult problems involving antenna/sensor-based applications such as radar, electronic warfare, electronic attack, electronic support measures, communications, geolocation, direction finding, etc.
Establish and maintain effective working relationships with internal and external customers. Represent the organization in providing solutions to difficult technical issues associated with specific projects.
Mentor and guide more junior engineers and technicians in the design, build, and test phases of projects and programs.
Work with interdisciplinary engineering teams including thermal, structural, mechanical, systems, etc.
Participate in and guide the testing of RF hardware for required performance metrics: This 1st shift role will be 100% on-site and based in McKinney, TX.
Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior work experience, or an Advanced Degree in a related field and minimum 5 years' experience.
Engineering experience to include any combination of the following:
Radar Cross Section (RCS) reduction, prediction, measurement, and analysis & simulation.
Design, fabrication, and test of conformal antennas, apertures, and passive RF components (i.e. radiating elements, radomes, power dividers, couplers, transitions, multi-layer board designs, Frequency Selective Surfaces (FSSs), etc.).
Designing, fabricating, and testing ultra-wideband phased array antennas such as Tightly Couple Dipole Arrays (TCDA), Vivaldi, Sliced Notch, Planar Ultra-wideband Modular Arrays (PUMA).
Experience with RCS analysis tools such as X-Patch, SENTRi, FEKO, HFSS, CST or other company specific CEM analysis packages.
S. government issued security clearance is required prior to start date. S. citizens are eligible for a security clearance.
Master's or PhD in Electrical Engineering with a concentration in Electromagnetics.
Experience presenting technical data to peers, executives and customers.
Experience writing and leading technical proposals.
Experience winning new business and executing contract research and development (CRAD) programs.
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. This position offers relocation based on candidate eligibility.
Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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Director to VP of Process/Manufacturing & Engineering
Location: Seattle, WA / Reports to: Chief Executive Officer (CEO)
The core of this position is someone who has directly taken a chemical or process manufacturing technology from early stage development through pilot and into commercial production. Specifically someone who has scaled a process based manufacturing system, liquids, heat, pressure, continuous or batch processing, from benchtop or pilot scale to revenue generating commercial scale.
Must have
- Direct experience scaling a process-based manufacturing system from pilot or bench scale to commercial production, ideally with clear quantifiable outcomes.
Strong preference
- Experience doing this scale-up within a startup or resource-constrained environment.
- Background in chemical or process engineering rather than mechanical or discrete manufacturing.
- Experience building operational, quality, and production infrastructure during the early commercialization phase.
- Quantifiable impact metrics around scaling chemical processes. This can take a few different forms, " X size pilot to first $Y M/yr commercial production\" or "Increased production Z%" etc.
Further, someone who has operated across engineering, supply chain, and operations, a true "operations-oriented engineer." High level of independence and drive, ideally someone who proactively flags risks, pushes timelines, and takes ownership of execution.
This is a senior, execution-focused leader, responsible for translating our technology into safe, reliable, on-spec, and cost-disciplined production at scale via our external partner network. You will own the production and engineering strategy, including leading technology transfer, managing contract manufacturer (CM) performance, and driving EPC execution for facility expansion while working with executive leadership to set the strategy for continuous improvement and a large-scale manufacturing network. You will serve as the primary commercial and technical bridge between internal innovation team and the manufacturing environment. This role requires a leader who is equally comfortable turning a wrench, reviewing P& IDs, negotiating multi-million-dollar MSAs, and acting as the owner's representative & quote, on major capital projects.
What You'll Do
1. Strategic Technology Transfer and Scale-up
○ Lead the 'Bench-to-Plant' Interface: Manage the technical hand-off from internal development to external partners, ensuring processes are robust, documented, and ready for commercial-scale production.
○ Scale-Up Oversight: Steward production, quality, and throughput during the critical transition from pilot to commercial runs, troubleshooting as necessary
○ Process Integrity: Ensure high standards for quality and yield is maintained when processes leave our internal control and enter our partner network.
○ Manage all aspects of technology transfer from R&D to contract manufacturing partners, driving tonnage-scale, on-spec production.
○ Planning for Velocity: properly scope and strategically plan timelines to maintain a venture backed pace for scale-up
2. Contract Manufacturing Ownership and Commercial Strategy
○ Commercial Negotiation: Lead the negotiation of Master Service Agreements (MSAs), tolling fees, and other manufacturing contracts. You are responsible for structuring deals that align incentives and protect our interests.
○ Partner Management: Serve as the single point of accountability for CM relationships. Set, track, and enforce KPIs for quality, OTIF delivery, and yield.
○ COGs Ownership: Own the external production cost model and rigorously define cost drivers and partner with the finance team to forecast scenarios and define and refine unit economics.
3. EPC Leadership and Scale Up
○ Project Delivery Strategy: Select and manage the appropriate project delivery model (e.g. Design-Bid-Build vs EPCM) and lead the selection of EPC vendors
○ Front-End Definition: Provide rigorous oversight of FEL/FEED stages to lock in scope before capital commitment.
○ Owner's Representative: Act as primary "Owner's Rep" for all capital projects, holding external firms accountable for schedule, cost, quality, and safety performance, serving as decision maker of change orders.
○ Own the Build: Oversee the physical execution of facility upgrades or new builds, ensuring a seamless handover to operations.
○ Provide technical input into the strategy of where and how to manufacture product to support business growth
4. Quality, Safety, and Risk Management
○ EHS Compliance: Audit and enforce safety standards at CM and any external sites where we are operating.
○ Supply Chain Risk: Identify point of failure in our external network and develop contingency plans for capacity and logistics
○ Quality: Own and maintain Ravel's quality management framework, including oversight of SOPs, documentation, and continuous improvement across internal operations and external partner.
What You'll Bring
● B.S. or M.S. in Chemical Engineering, Process Engineering, Materials Science, Mechanical Engineering, Industrial Engineering, Chemistry or a closely related discipline, or equivalent experience gained through progressive responsibility in manufacturing operations. A PhD or MBA is a strong plus.
● 10+ years' experience in chemical/process manufacturing, technology transfer, and/or contract manufacturing at pilot or commercial scale.
● Capital Projects Fluency: Demonstrated experience acting as the "Owner" on a capital project ($20M+). You understand the difference between FEL 1/2/3 and know how to control TIC.
● Commercial Acumen: Strong experience negotiating tolling agreements, joint development agreements, and construction contracts. You know how to structure a deal to protect IP and cash risk.
● Technical Authority: Ability to read PFDs/P&IDs and challenge engineering partners on design.
● Willingness to Travel: This role requires being present where the work is, at CMs and construction sites (approx 30-50% travel)
This is an opportunity to own manufacturing strategy and execution at a company scaling breakthrough technology into the real world. You will shape how we manufacture globally, with executive-level accountability for cost, quality, delivery, and facilities, and play a central role in the company's next phase of growth.
Join a passionate, visionary team as we build a future where textile production and consumption are part of a sustainable, closed-loop system.
Traits and Characteristics:
● Hustle
● Team player (our team)
● Positive attitude
● 100% integrity
Project Manager
6 mo. contract to perm hire
Raleigh, NC
Required Skills & Experience
• 5–10 years Project Management experience (ideal)
• Strong technical understanding, ideally with AI / ML / GenAI exposure
• Ability to understand technical details and track progress with engineers & data scientists
• Strong stakeholder communication
• Self-driven, minimal hand-holding
• Experience running multi-team, cross-functional initiatives
Experience managing multiple projects concurrently
Nice to Have Skills & Experience
• Former developer or data scientist background before PM
• Hands-on experience with AI products, AI content pipelines, embeddings
• Experience in B2B environment
Experience in multi-year, large-scale data or ML programs
Job Description
• Manage multiple AI-related projects under the hiring manager's org
• Track progress across engineering + data science teams (~10 people)
• Manage long-term initiatives (multi-year)
• Coordinate embedding strategy project with 20–30+ cross-functional contributors
• Provide weekly updates and progress tracking
• No customer-facing work — only internal stakeholders
• Move projects forward proactively, ensure clarity, keep leadership informed
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .
Join the team leading the next evolution of virtual care.
At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.
Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.
Summary of Position
As a Staff Software Engineer, you are a senior individual contributor who leads the design and delivery of significant platform features and raises the bar for engineering quality across the team. You'll work handson in code-designing APIs and data flows, building services in Python/FastAPI and React frontends, and guiding solutions from idea to production. You'll mentor engineers, influence architecture and standards within and adjacent to your team, and partner closely with product and design to achieve clear, measurable outcomes. This role blends deep implementation work with pragmatic technical leadership by example.
Essential Duties and Responsibilities
Lead technical design for platform features and services, breaking ambiguous requirements into clear, incremental designs and stories for your team and adjacent partners.
Implement backend services in Python/FastAPI and React frontends end-to-end, owning a continuous stream of stories from idea to production.
Define and use clear API contracts and data flows between services and UIs, creating patterns and templates others can follow.
Champion high-quality engineering practices, including code reviews, documentation, and maintainable, testable designs.
Develop and improve automated testing (unit, integration, endtoend) and integrate these into everyday development and CI.
Improve CI/CD pipelines and release workflows for your team so the team can ship small, safe changes frequently and confidently.
Own the operational lifecycle of the features and services you build, including monitoring, observability, on-call participation, and incident follow-up.
Design and implement secure-by-default solutions, including robust authentication/authorization, input validation, and safe handling of sensitive data.
Identify and address reliability and performance risks early, proposing concrete technical improvements and sequencing them into the roadmap.
Mentor and unblock engineers through pairing, design discussions, and clear feedback; influence without formal authority.
Partners with product/design to shape requirements into incremental deliverables; escalates tradeoff decisions; proposes sequencing that optimizes value/risk.
The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.
Supervisory Responsibilities
No
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable.
7+ years of experience in software engineering.
Strong proficiency with Python and modern web backends (FastAPI, Flask, Django, or similar) and solid understanding of HTTP, API design, and data modeling.
Significant experience with React (or a comparable SPA framework) and building production frontends that talk to backend APIs.
Demonstrated ability to own features end-to-end in a small team: from shaping requirements through design, implementation, testing, deployment, and support.
Experience designing and working with distributed systems or multi-service architectures (e.g., service boundaries, async jobs, integration patterns).
Solid understanding of observability and operations for production systems (metrics, logs, traces, dashboards, alerting, incident response).
Strong understanding of security fundamentals (authentication, authorization, secure data handling) and how they apply to web services and UIs.
Deep familiarity with automated testing and CI/CD, and a track record of improving engineering workflows and quality.
Excellent communication and collaboration skills; comfortable working closely with product, design, and other stakeholders.
Proven ability to provide technical leadership in a hands-on way: unblocking others, making clear decisions, and raising the bar through code and reviews.
Bonus Qualifications
Experience in early-stage or small platform teams where engineers wear multiple hats and balance shipping with building foundations.
Experience with Azure and containerized deployments (or similar cloud-native environments).
Experience building platforms (developer platforms, data platforms, or similar) that serve multiple product teams.
Exposure to AI/ML or data-intensive applications (e.g., integrating with model inference APIs, data pipelines, or analytical data stores).
The base salary range for this position is$180,000 - $200,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.
#LI-SS2 #LI-Remote
We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.
As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.
Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
Why join Teladoc Health?
Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.
Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.
Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.
Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.
Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.
Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.
Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Citizen, U.Person, or Immigration Status Requirements:
S. government issued security clearance is required prior to start date. S. citizens are eligible for a security clearance Security Clearance:
Secret - Current At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We are involved in all phases of design, development, production, and maintenance of Low Observable (LO) antenna and Active Electronically Scanned Arrays (AESA) systems. We are currently looking for Stealth / Low Observable / Radar Cross Section (RCS) / Signature Management / Survivability Engineers to work on challenging, state-of-the-art technical projects.
Raytheon's Apertures and RF Department is seeking a Principal Antenna Design Engineer to join the Radome & Apertures team in McKinney, Texas.
The selected candidate will work with various teams of engineers and scientists with backgrounds in AESAs, Antennas, Radomes, Computational Electromagnetics Modeling (CEM), RF Test, Mechanical, Structural and Thermal analysis, Material Science, Process and Manufacturing Engineering and survivable antenna technology.
The ideal candidate for this role will enjoy both theoretical design and hands-on engineering tasks. This position requires job duties to be performed onsite due to the sensitive nature of this work and the desire for in-person collaboration, however we offer flexible in-office hours and the ability to perform some job duties remotely.
Responsible for the hands-on design and realization of LO antennas, phased array antennas and passive RF components.
Use computational electromagnetic analysis software to design and predict performance on various types of antennas and apertures (spiral, sinuous, Vivaldi, patch, slot, horn, ultra-wideband tightly coupled dipole arrays, etc.).
Support customer programs through modeling and simulation of LO antennas or RF components/systems and leading teams that perform these functions.
Provide technical solutions to a wide range of difficult problems involving antenna/sensor-based applications such as radar, electronic warfare, electronic attack, electronic support measures, communications, geolocation, direction finding, etc.
Establish and maintain effective working relationships with internal and external customers. Represent the organization in providing solutions to difficult technical issues associated with specific projects.
Mentor and guide more junior engineers and technicians in the design, build, and test phases of projects and programs.
Work with interdisciplinary engineering teams including thermal, structural, mechanical, systems, etc.
Participate in and guide the testing of RF hardware for required performance metrics: This 1st shift role will be 100% on-site and based in McKinney, TX.
Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior work experience, or an Advanced Degree in a related field and minimum 5 years' experience.
Engineering experience to include any combination of the following:
Radar Cross Section (RCS) reduction, prediction, measurement, and analysis & simulation.
Design, fabrication, and test of conformal antennas, apertures, and passive RF components (i.e. radiating elements, radomes, power dividers, couplers, transitions, multi-layer board designs, Frequency Selective Surfaces (FSSs), etc.).
Designing, fabricating, and testing ultra-wideband phased array antennas such as Tightly Couple Dipole Arrays (TCDA), Vivaldi, Sliced Notch, Planar Ultra-wideband Modular Arrays (PUMA).
Experience with RCS analysis tools such as X-Patch, SENTRi, FEKO, HFSS, CST or other company specific CEM analysis packages.
S. government issued security clearance is required prior to start date. S. citizens are eligible for a security clearance.
Master's or PhD in Electrical Engineering with a concentration in Electromagnetics.
Experience presenting technical data to peers, executives and customers.
Experience writing and leading technical proposals.
Experience winning new business and executing contract research and development (CRAD) programs.
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. This position offers relocation based on candidate eligibility.
Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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It's also one of the most fixable—because interview performance is rarely about intelligence.
It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.
Many candidates learn coding, but they don't learn how to present their skills under pressure.
SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework.
Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth.
The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.
Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why”) Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport.
You don't just watch videos; you practice real drills.
We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work.
What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates.
Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path.
SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think.
Now it's time to train like you mean it—and turn interviews into offers.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
