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Tri Core Engineering Jobs (NOW HIRING)

DTCC

Azure DevOps Production Support Engineer

Jersey City, NJ · On-site

$57.75 - $79/hr

... TRI) team, you will drive the delivery and operations of DTCC's Web3 Platform by partnering with engineering teams to implement and sustain core DevOps practices, CI/CD automation, infrastructure ...

DTCC

Azure DevOps Production Support Engineer

Jersey City, NJ · On-site

$55 - $75.50/hr

... TRI) team, you will drive the delivery and operations of DTCC's Web3 Platform by partnering with engineering teams to implement and sustain core DevOps practices, CI/CD automation, infrastructure ...

DTCC

Azure DevOps Production Support Engineer

Coppell, TX · On-site

$49 - $67.25/hr

... TRI) team, you will drive the delivery and operations of DTCC's Web3 Platform by partnering with engineering teams to implement and sustain core DevOps practices, CI/CD automation, infrastructure ...

Integrated Resources INC

Sr Java Developer

New York, NY

$62.75 - $79.75/hr

... tri-states most well-respected professional specialty firms. IRI has built its reputation on ... Core Java developer with a working knowledge of Linux, real-time systems 3+ years experience ...

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All JobsTri Core Engineering Jobs

Tri Core Engineering information

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$46.5K

$146.9K

$174K

How much do tri core engineering jobs pay per year?

As of Jun 24, 2026, the average yearly pay for tri core engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What types of projects do engineers typically work on at Tri Core Engineering, and how does teamwork factor into project success?

At Tri Core Engineering, engineers are often involved in multidisciplinary projects ranging from infrastructure design to industrial systems and energy solutions. Teamwork is integral, as projects typically require close collaboration among civil, mechanical, and electrical engineers, as well as with project managers and clients. Regular team meetings, open communication, and integrated project management tools help ensure that all members are aligned on objectives, deadlines, and quality standards. This collaborative environment not only supports project success but also offers opportunities for professional growth and skill development.

What are the key skills and qualifications needed to thrive as an engineer at Tri Core Engineering, and why are they important?

To thrive as an engineer at Tri Core Engineering, you need a solid background in engineering principles, problem-solving abilities, and a relevant engineering degree such as civil, mechanical, or electrical engineering. Familiarity with design software like AutoCAD, SolidWorks, and project management tools, as well as certifications like Professional Engineer (PE), are typically required. Strong communication, teamwork, and time-management skills help you collaborate effectively and manage complex projects. These skills and qualifications are essential to deliver high-quality engineering solutions and ensure project success within budget and deadlines.

What is Tri Core Engineering?

Tri Core Engineering typically refers to an engineering firm or company that offers a range of engineering services, often specializing in civil, structural, mechanical, or electrical engineering. Companies with this name may provide design, consulting, project management, and construction oversight for commercial, industrial, or public projects. The name 'Tri Core' often signifies a focus on three core values or areas of expertise. Specific services and industries served can vary depending on the location and specialization of the company. It is best to visit the company's official website or contact them directly for detailed information about their offerings.
Infographic showing various Tri Core Engineering job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 26% Full Time, 65% Part Time, and 5% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Senior Research Engineer, Mechanical Intuition in Multimodal Models

Senior Research Engineer, Mechanical Intuition in Multimodal Models

Toyota Research Institute

Los Altos, CA

$162K - $232K/yr

Full-time

Posted 18 days ago

Job description

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Team

The Future Factory team in TRI's Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota's product design and manufacturing, to speed the transition to an emissions-free world. To achieve this we are building end-to-end AI systems that can reason about how physical objects are designed and made — from geometry and constraints through to simulation and assembly — and developing the engineering infrastructure needed to train, evaluate, and iterate on these systems at scale.

The Opportunity

We are looking for a Senior Research Engineer to join us in building the systems and tools that power our research on physical AI. This role is well-suited for someone with a strong software engineering foundation, deep experience working with geometry or physical modeling, and a genuine interest in how things are made.

As a research engineer on the team, you will design and build the pipelines and tooling that allow researchers to move fast and measure what matters — from large-scale training and evaluation infrastructure to the geometry processing and physics-aware components at the core of our models. You will work at the intersection of software engineering and research, translating emerging ideas into robust, production-quality implementations.

Responsibilities
  • Design, build, and maintain robust and efficient pipelines for model training and evaluation, with a focus on reliability, scalability, and researcher productivity.
  • Develop tools and frameworks to measure and improve model performance across multiple dimensions, including accuracy, generalization, and computational efficiency.
  • Collaborate closely with researchers to translate emerging techniques and experimental findings into clean, production-ready implementations.
  • Build high-performance systems for geometry manipulation, processing, and modeling, including integration with CAD, CAM, or related geometric representations.
  • Contribute to the team's shared infrastructure and codebase, raising the standard for code quality, testing, and documentation.
Qualifications
  • An MS or equivalent in Computer Science, Robotics, Mechanical Engineering, or a related field, plus several years of relevant industry or research experience.
  • A strong track record of designing and shipping reliable software systems, with an ability to work across the full stack of a research engineering project.
  • Experience working with computational geometry, CAD, CAM, or graphics systems, and a clear understanding of the challenges involved in processing and representing complex 3D geometry.
  • Experience building performant systems for geometry manipulation or modeling — including efficient data structures, algorithms, or GPU-accelerated pipelines.
  • Interest in manufacturing, simulation, or process automation, and enthusiasm for working in a domain where software has direct physical consequences.
Bonus Qualifications
  • Familiarity with topology optimization, constraint solving, or CSG representations, and experience applying these in applied research or production contexts.
  • Experience with physical modeling in some form — finite element analysis, neural ODEs or PDEs, or physical simulation frameworks such as MuJoCo, Taichi, or similar tools.
  • Exposure to machine learning model development, including training pipelines, evaluation harnesses, and experiment tracking at scale.
  • Prior experience in a research lab or research-adjacent engineering role, with an appreciation for how to balance rigor and velocity.
The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles, and between $162,000 and $232,875/year for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.