Software Systems Engineer Jobs in New York
Software Systems Engineer jobs in New York are among the most actively recruited in the country, concentrated in defense and aerospace contracting, financial technology, healthcare IT, and enterprise software development across seniority levels from junior engineer to principal architect. The highest concentration of openings is in New York City, Long Island, and the Albany Capital Region, where employers such as Lockheed Martin, IBM, and Northrop Grumman maintain significant engineering operations. Systems integration, embedded software, and cloud infrastructure architecture are the most consistently in-demand specialties across these markets. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 30+ Software Systems Engineer jobs
Software Engineer, Systems ML (Technical Leadership) Responsibilities:
- Identify and solve the most complex cross-system ML infrastructure challenges spanning training, inference, compiler optimization, and hardware-software co-design, including problems that have resisted prior solution attempts
- Define extensible architectural standards and technical foundations for ML systems that enable consistency and reliability across multiple engineering organizations
- Develop and own the multi-year technical roadmap for ML systems infrastructure, balancing short-term delivery with long-term platform health and competitive positioning
- Leverage AI-native tooling and workflows as a force multiplier to eliminate entire categories of engineering toil and accelerate cross-disciplinary work across the ML systems stack
- Drive performance improvements across large-scale ML training and inference systems by identifying bottlenecks that span multiple subsystems, ownership boundaries, and abstraction layers
- Establish invariants, correctness proofs, and systemic reliability practices that prevent whole classes of failures across ML infrastructure pipelines
- Partner with research, hardware, and product engineering teams to translate theoretical ML systems advances into production infrastructure that delivers measurable efficiency and capability gains
- Assess emerging AI and computing technologies, evaluate competitive ML infrastructure trends, and influence organizational strategy to ensure technical competitiveness
- Mentor engineers across the organization by providing customized coaching, leading engineering programs, and establishing a culture of thoroughness and high craft in ML systems development
- Communicate complex ML systems architecture and strategy clearly to technical and non-technical audiences, producing reference-quality design documents and roadmap artifacts
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in software engineering with deep specialization in one or more ML systems domains including AI infrastructure, ML compilers, high-performance computing, GPU architecture, ML frameworks, or on-device optimization
- Experience architecting and delivering large-scale ML training or inference infrastructure that has had measurable impact across multiple engineering organizations
- Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries
- Experience developing high-performance ML systems infrastructure in C++, Python, or CUDA, including work at the intersection of hardware and software
- Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment
Preferred Qualifications:
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience contributing to industry-wide ML systems efforts through publications, open-source projects, or standards bodies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements at organizational scale
- Experience with ML compiler stacks such as MLIR, XLA, or TVM, or with hardware-software co-design for custom ML accelerators
- Experience defining and operationalizing reliability, performance, and correctness standards for distributed ML training or large-scale inference systems
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Software Engineer, Systems ML (Technical Leadership) Responsibilities:
- Identify and solve the most complex cross-system ML infrastructure challenges spanning training, inference, compiler optimization, and hardware-software co-design, including problems that have resisted prior solution attempts
- Define extensible architectural standards and technical foundations for ML systems that enable consistency and reliability across multiple engineering organizations
- Develop and own the multi-year technical roadmap for ML systems infrastructure, balancing short-term delivery with long-term platform health and competitive positioning
- Leverage AI-native tooling and workflows as a force multiplier to eliminate entire categories of engineering toil and accelerate cross-disciplinary work across the ML systems stack
- Drive performance improvements across large-scale ML training and inference systems by identifying bottlenecks that span multiple subsystems, ownership boundaries, and abstraction layers
- Establish invariants, correctness proofs, and systemic reliability practices that prevent whole classes of failures across ML infrastructure pipelines
- Partner with research, hardware, and product engineering teams to translate theoretical ML systems advances into production infrastructure that delivers measurable efficiency and capability gains
- Assess emerging AI and computing technologies, evaluate competitive ML infrastructure trends, and influence organizational strategy to ensure technical competitiveness
- Mentor engineers across the organization by providing customized coaching, leading engineering programs, and establishing a culture of thoroughness and high craft in ML systems development
- Communicate complex ML systems architecture and strategy clearly to technical and non-technical audiences, producing reference-quality design documents and roadmap artifacts
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 12+ years of experience in software engineering with deep specialization in one or more ML systems domains including AI infrastructure, ML compilers, high-performance computing, GPU architecture, ML frameworks, or on-device optimization
- Experience architecting and delivering large-scale ML training or inference infrastructure that has had measurable impact across multiple engineering organizations
- Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries
- Experience developing high-performance ML systems infrastructure in C++, Python, or CUDA, including work at the intersection of hardware and software
- Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment
Preferred Qualifications:
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience contributing to industry-wide ML systems efforts through publications, open-source projects, or standards bodies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements at organizational scale
- Experience with ML compiler stacks such as MLIR, XLA, or TVM, or with hardware-software co-design for custom ML accelerators
- Experience defining and operationalizing reliability, performance, and correctness standards for distributed ML training or large-scale inference systems
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
See All 30 Software Systems Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsSoftware Systems Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Software Systems Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Media & Entertainment
- Technology & Software
- Investment & Asset Management
What New York Employers Look For
The qualifications that appear most often in software systems engineer jobs across New York.
- Bachelor's degree in computer science, software engineering, electrical engineering, or a related technical field
- Demonstrated experience designing and integrating complex hardware-software systems at scale
- Proficiency in systems modeling languages such as SysML or UML and requirements management tools
- Experience with software development lifecycle processes including Agile, Scrum, or CMMI frameworks
- Familiarity with DoD or FAA systems engineering standards preferred for New York defense and aerospace roles
- Strong written and verbal communication skills for cross-functional collaboration with hardware and program teams
Software Systems Engineer Jobs in New York: Frequently Asked Questions
How do you become a software systems engineer in New York?
A bachelor's degree in software engineering, computer science, or a closely related field is the standard entry point for software systems engineer roles in New York. No state-issued license is required to practice in this role. Employers in New York's defense and aerospace sectors often require or prefer candidates who can obtain a federal security clearance, which is initiated by the hiring employer, not a state body. A strong foundation in systems engineering methodology and relevant internship experience accelerates hiring.
How much do software systems engineers make in New York?
Software systems engineers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire software systems engineers in New York?
Employers hiring software systems engineers in New York right now include Meta, Tubi, and Block, based on current listings on Migrate Mate as of September 2026. New York's defense corridor on Long Island and the Hudson Valley, anchored by major contractors and federal agency partners, drives sustained demand for systems engineers with clearance eligibility and integration experience.
Which New York cities have the most software systems engineer jobs?
The cities with the most software systems engineer openings in New York are New York, New York State, and Buffalo. New York City dominates due to its density of financial technology firms, enterprise software companies, and healthcare networks, while Long Island and the Capital Region draw steady hiring from defense contractors and state government IT programs that require on-site systems integration work.
Are there remote software systems engineer jobs in New York?
Yes, and more than many engineering disciplines, because a significant portion of software systems work involves architecture, documentation, and model-based design that can be done remotely. About 75% of software systems engineer openings tied to New York are remote or hybrid as of September 2026, though roles tied to classified defense programs or physical lab environments require on-site presence. Cloud architecture and enterprise integration positions offer the most remote flexibility.
How can I get hired as a software systems engineer in New York with little or no experience?
The most realistic entry path is applying to new-graduate rotational engineering programs at large New York employers such as Lockheed Martin, IBM, or L3Harris, which routinely hire candidates without professional experience. A degree in computer science or electrical engineering combined with a senior capstone project demonstrating systems integration work is the credential that most consistently opens doors. Adjacent roles in software quality assurance, technical writing for systems documentation, or IT operations at New York financial firms or hospital networks provide lateral entry points that transition into systems engineering within one to two years.
Where can I find and apply to software systems engineer jobs in New York?
You can find and apply to software systems engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Find roles that fit your background and apply directly to the employer through each listing.
See All 30 Software Systems Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Jobs