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Phd Engineer Jobs in New York (NOW HIRING)

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team . The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related ...

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team . The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related ...

PhD or doctoral candidate in Engineering or a closely related field. * Master's degree considered for candidates with exceptional depth in a specific subdomain. * Strong command of graduate-level ...

Utilize Python , R , or other programming languages for scientific computing. * Work with Git ... PhD in biology, biological sciences, biochemistry, genetics, ecology, or a closely related field.

PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field. * Demonstrated depth in semiconductor materials and molecular modeling.

Work closely with leadership, scientists, and engineers to shape specific aims, technical ... PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field

Work closely with leadership, scientists, and engineers to shape specific aims, technical ... PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field

Work closely with leadership, scientists, and engineers to shape specific aims, technical ... PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field

Position: Circuit Design Writer - Engineering FRQ Type: Contract Compensation: $85/hour Location ... PhD in Electrical Engineering . * 5+ years of hands-on professional/industry experience in analog ...

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Phd Engineer information

What is a PhD engineer?

A PhD Engineer is an individual who has completed a Doctor of Philosophy (PhD) degree in an engineering discipline. This advanced degree signifies deep expertise in a specialized area of engineering, often involving original research and the completion of a dissertation. PhD Engineers typically work in academia, research and development, or advanced industry roles where they contribute to scientific innovation and technological advancements. Their work often includes conducting research, publishing scholarly articles, and mentoring students or junior engineers.

What are the key skills and qualifications needed to thrive as a PhD engineer?

To thrive as a PhD Engineer, you need advanced expertise in engineering principles, research methodology, and problem-solving, typically supported by a doctoral degree in an engineering discipline. Familiarity with specialized technical tools, modeling software, data analysis platforms, and sometimes professional certifications are commonly required. Exceptional analytical thinking, innovation, and strong communication skills set top PhD Engineers apart in collaborative and research-driven environments. These competencies are vital for driving technological advancements, publishing impactful research, and leading complex engineering projects.

What are the typical career advancement opportunities for a PhD engineer in an industrial setting?

PhD Engineers in industry often start in research and development roles, where they apply their advanced technical expertise to solve complex problems. Over time, they may progress into senior scientist or technical lead positions, and can also transition into management roles such as R&D manager or director. Career growth is often driven by demonstrated innovation, successful project leadership, and strong collaboration skills. Additionally, PhD Engineers frequently have opportunities to shape company strategy, mentor junior engineers, and contribute to patent portfolios.

What is the difference between Phd Engineer vs Research Scientist?

AspectPhd EngineerResearch Scientist
Required CredentialsPhD in Engineering or related fieldPhD in relevant scientific discipline
Work EnvironmentIndustry labs, R&D departments, manufacturingAcademic labs, research institutions, industry R&D
Employer & Industry UsageTech companies, manufacturing firms, engineering firmsUniversities, government agencies, private research firms
Common Search & ComparisonYesYes

Both Phd Engineers and Research Scientists hold doctoral degrees and work in research-intensive environments. Phd Engineers typically focus on applied engineering projects within industry, while Research Scientists often work on fundamental scientific research in academic or government settings. The choice depends on whether you prefer industry application or scientific exploration.

Is a Phd engineer useful in engineering?

A PhD engineer brings advanced technical expertise, research skills, and problem-solving abilities to engineering projects. They are often involved in innovation, development, and complex analysis, making them valuable for specialized roles, research positions, and leadership in technical fields.

What jobs can I get with a Phd engineer?

A PhD in engineering qualifies individuals for advanced roles such as research scientist, university professor, R&D engineer, or technical consultant. These positions often require strong analytical skills, expertise in specialized tools or software, and may involve project management or collaboration in innovative environments.

What cities in New York are hiring for Phd Engineer jobs?

Cities in New York with the most Phd Engineer job openings:

Infographic showing various Phd Engineer job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Full-Stack Engineer (PhD Required)

Accrete

New York, NY

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

Office Location: Lower Manhattan, NY (4 days per week in the office)

PhD Required

Accrete is an agentic managed services company: an AI workforce that does high-stakes, judgement-heavy work for government and enterprise clients - at the economics of software, not labor.

At the core is Accrete's Knowledge Engine, a dynamic context graph that captures an organization's tacit knowledge, resolves data across silos, and builds a living, auditable ground truth. Expert agents reason against that ground truth to act on complex, high-stakes decisions - not just answer questions about them.

From national security to commercial operations, Accrete delivers the work on one platform, with unlimited expert agents and expert judgement.

Role Overview:

We are seeking a highly skilled Full-Stack Engineer to join our AI Platform Team. The ideal candidate will have a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field and a strong background in designing and building AI-driven systems. This role will focus on developing scalable AI infrastructure, optimizing deep learning pipelines, and deploying robust machine learning solutions in production environments.

Responsibilities:
  • Design, develop, and optimize scalable AI and machine learning infrastructure.
  • Build and maintain high-performance, distributed systems for AI model training and inference.
  • Develop and implement novel algorithms to improve AI model efficiency and accuracy.
  • Work closely with data scientists and machine learning engineers to integrate cutting-edge AI research into production environments.
  • Ensure reliability, security, and performance of AI-driven applications.
  • Collaborate with cross-functional teams to align AI solutions with business needs.
  • Stay up to date with the latest advancements in AI and software engineering.
Requirements:
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong programming skills in Python, C++, or Java.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Proficiency in distributed computing and experience with cloud platforms (AWS, GCP, Azure).
  • Deep understanding of deep learning architectures, model optimization, and neural network deployment.
  • Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
  • Knowledge of data pipelines, ETL workflows, and large-scale data processing.
  • Strong problem-solving skills, analytical thinking, and ability to work in a fast-paced environment.

Salary Range: 170k-210k

The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.

Core Values & Expectations:Impact

You take full ownership and accountability for your work, consistently seeing projects through from inception to completion with a strong bias for action. Proactively identifying challenges, you drive solutions rather than waiting for direction, and hold yourself and others to the highest standards for delivering results. With strategic thinking and a problem-solving mindset, you make informed decisions leveraging data and expertise, always looking for ways to improve processes, optimize workflows, and enhance outcomes beyond your immediate responsibilities.

Collaboration

You work seamlessly across teams, prioritizing shared goals and team success over individual credit. Engaged listening and open, candid communication are at the heart of your approach, ensuring alignment and synergy throughout the organization. You value diverse perspectives, seeking input from others to drive better results. By treating colleagues with respect and professionalism, you help build a culture of trust, supporting each other through challenges, celebrating successes, and constructively addressing conflicts to strengthen relationships and improve outcomes.

Passion for AI & Innovation

You are deeply excited about the transformative potential of AI and committed to contributing to a company shaping the future of work. With curiosity and a growth mindset, you continuously seek to learn, adapt, and stay at the forefront of new developments. Your enthusiasm for innovation drives you to explore new ideas, challenge the status quo, and find creative solutions that deliver meaningful impact. You approach your work with energy and a desire to advance both technology and the way we work.

Company Benefits

  • Competitive Salary: Aligned with experience and market standards
  • Comprehensive Insurance: Health, dental, and vision coverage for you and your family
  • 401(k) Plan: Build your financial future with our retirement savings plan
  • Growth & Development: Access professional learning opportunities and career advancement support
  • Onsite Perks: Enjoy catered lunches, snacks, and a fully stocked kitchen
  • Team Bonding: Company-sponsored happy hours and social events to connect and unwind

Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Employment Type: FULL_TIME