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System Engineer Phd Jobs in New York (NOW HIRING)

Accrete

Full-Stack Engineer (PhD Required)

New York, NY · On-site

$170K - $210K/yr

... Stack Engineer to join our AI Platform Team . The ideal candidate will have a PhD in Computer ... Build and maintain high-performance, distributed systems for AI model training and inference.

Accrete

Full-Stack Engineer (PhD Required)

Manhattan, NY · On-site

$170 - $210/hr

... Stack Engineer to join our AI Platform Team . The ideal candidate will have a PhD in Computer ... Build and maintain high-performance, distributed systems for AI model training and inference.

Accrete

Full-Stack Engineer (PhD Required)

New York, NY · On-site

$170K - $210K/yr

... Stack Engineer to join our AI Platform Team . The ideal candidate will have a PhD in Computer ... Build and maintain high-performance, distributed systems for AI model training and inference.

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System Engineer Phd information

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$58.5K

$139.2K

$182.7K

How much do system engineer phd jobs pay per year?

As of Aug 23, 2026, the average yearly pay for system engineer phd in New York is $139,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $171,800.00 per year, depending on experience, location, and employer.

What is a system engineer PhD?

System Engineer PhDs are professionals who have earned a doctoral degree (PhD) in systems engineering or a closely related field. They specialize in designing, analyzing, and managing complex systems across various industries, such as aerospace, defense, IT, and manufacturing. Their advanced education enables them to conduct research, develop innovative solutions, and lead multidisciplinary teams to tackle large-scale engineering challenges. System Engineer PhDs often work in academia, research institutions, or high-level industry roles, focusing on optimizing system processes and integration.

What are the key skills and qualifications needed to thrive as a system engineer PhD, and why are they important?

To thrive as a System Engineer PhD, you need advanced knowledge of systems engineering principles, research methodologies, and typically a doctorate in engineering or a related field. Familiarity with modeling and simulation tools (e.g., MATLAB, Simulink), systems engineering software (e.g., IBM DOORS), and relevant industry certifications are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you lead complex projects and collaborate with multidisciplinary teams. These skills and qualifications are essential for driving innovation, ensuring robust system design, and successfully managing sophisticated engineering challenges.

What are common challenges system engineer PhDs face when transitioning from academia to industry roles?

System Engineer PhDs often encounter challenges when shifting from academic research to industry, such as adapting to faster project timelines and working within cross-functional teams. In industry, there is typically a greater emphasis on practical application and collaboration, rather than theoretical exploration. Adjusting to structured workflows and aligning technical solutions with business objectives are also key transitions. However, this environment offers opportunities to see the tangible impact of your work and to advance into senior technical or leadership roles.

What is the difference between System Engineer Phd vs Network Engineer?

AspectSystem Engineer PhdNetwork Engineer
Required CredentialsPhd in Engineering or related field, possibly with certifications like Cisco or CompTIAAssociate's or Bachelor's in Computer Science or related, with certifications like Cisco CCNA or CCNP
Work EnvironmentResearch labs, R&D departments, or advanced technical teams in tech companiesNetwork operations centers, IT departments, or telecommunications firms
Employer & Industry UsageResearch institutions, tech companies, or organizations requiring advanced system designTelecom providers, enterprise IT, or service providers

The main difference between a System Engineer Phd and a Network Engineer lies in their focus and qualifications. System Engineers with a Phd typically engage in advanced system design, research, and development, often in research or high-tech environments. Network Engineers focus on designing, implementing, and maintaining network infrastructure, usually with industry certifications. Both roles are essential in tech industries but serve different technical needs and expertise levels.

What can I do with a PhD in system engineer?

A PhD in system engineering prepares individuals for advanced roles in research, development, and systems design across industries such as aerospace, defense, technology, and manufacturing. Graduates often work as systems engineers, research scientists, or technical consultants, utilizing skills in systems analysis, modeling, and simulation, and may pursue careers in academia or industry innovation.

What are popular job titles related to System Engineer Phd jobs in New York?

For System Engineer Phd jobs in New York, the most frequently searched job titles are:

What job categories do people searching System Engineer Phd jobs in New York look for?

The top searched job categories for System Engineer Phd jobs in New York are:

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

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

System Engineer Phd jobs near you
Infographic showing various System Engineer Phd job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $139,177 per year, or $66.9 per hour.

Full-Stack Engineer (PhD Required)

Accrete, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 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.

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