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Meta Design Jobs in New York (NOW HIRING)

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Collaborate with cross-functional teams (product, design, operations, infrastructure) to build ...

At Meta, we're shaping innovative experiences in service of giving people the power to build ... design and user research teams * 8+ years of experience hiring, managing, and developing both ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Collaborate with cross-functional teams (product, design, operations, infrastructure) to build ...

... advance Meta's competitive position in personalization • Mentor engineers across the organization on recommendation system design, debugging complex ranking and retrieval issues, and building ...

The Production Network Engineering team is responsible for the design, deployment, operation, and continuous improvement of Meta's large-scale production network -- spanning data centers, edge points ...

Degree must be completed prior to joining Meta * Demonstrated expertise in Large Language Models -- including architecture design, training, fine-tuning, and/or deployment * Programming experience in ...

Own and drive the execution of large-scale Transaction Monitoring projects and initiatives, including control design, automation efforts, and technology migrations within the Meta FinTech Compliance ...

Experience building and evolving design systems and brand languages that operate across diverse product lines and global markets About Meta: Meta builds technologies that help people connect, find ...

Meta is seeking a skilled and motivated individual to join our Total Rewards Team, focusing on ... Lead the design and maintenance of the systems, processes, and data that power sales incentive ...

Meta Quest VR headsets, Meta Ray-Ban AI glasses) * Responsible for framing strategy decisions ... Design and execute quantitative and qualitative research to support decision-making, strategic ...

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Design and implement AI evaluation frameworks, including model performance benchmarking, prompt ...

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists ... Interpret research and state-of-the-art learnings to design product strategy and apply rigorous ...

Showing results 41-60

Meta Design information

What is meta design?

Meta Design refers to the process of designing systems, frameworks, or methodologies that enable others to create their own designs. It involves creating tools, guidelines, or structures that facilitate creativity and adaptability, rather than producing a single, finished product. Meta Design is often used in fields like user experience, software development, and architecture, where flexibility and user participation are essential. Its goal is to empower users or stakeholders to shape outcomes according to their needs within a well-considered framework.

How does a meta designer typically collaborate with cross-functional teams during the design process?

Meta Designers often work closely with product managers, engineers, researchers, and other designers to ensure that design systems are cohesive and scalable. They facilitate workshops, share design guidelines, and gather feedback from various stakeholders to refine the overarching design framework. Effective communication and collaboration are vital, as Meta Designers need to bridge strategic vision with practical implementation, ensuring consistency across a wide range of products and platforms.

What are the key skills and qualifications needed to thrive as a meta designer, and why are they important?

To thrive as a Meta Designer, you need a strong background in design principles, user experience (UX), and systems thinking, often supported by a degree in design or a related field. Familiarity with design software such as Adobe Creative Suite, Figma, and prototyping tools, as well as knowledge of digital platforms and information architecture, is essential. Creative problem-solving, collaboration, and the ability to communicate complex concepts clearly are key soft skills for this role. These skills ensure that Meta Designers can develop cohesive design systems that adapt across platforms, enhancing user experience and organizational consistency.

What is the difference between Meta Design vs User Experience Designer?

AspectMeta DesignUser Experience Designer
CredentialsDesign degree, portfolio, sometimes certificationsDesign or related degree, portfolio, UX certifications
Work EnvironmentDesign agencies, tech companies, creative teamsTech companies, agencies, product teams
Industry UsageUsed in digital, branding, and interface design projectsFocused on improving user interactions and satisfaction

Meta Design and User Experience Designer roles overlap in design skills and work environments, but Meta Design emphasizes holistic visual and conceptual design strategies, while User Experience Designers focus on optimizing user interactions and usability. Understanding these differences helps clarify career paths and job expectations in the digital design industry.

What are the most commonly searched types of Meta Design jobs in New York?

The most popular types of Meta Design jobs in New York are:

What job categories do people searching Meta Design jobs in New York look for?

The top searched job categories for Meta Design jobs in New York are:

What cities in New York are hiring for Meta Design jobs?

Cities in New York with the most Meta Design job openings:

Infographic showing various Meta Design job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer, MTIA SW Tooling Engineer

Meta

New York, NY

$183K/yr

Full-time

Posted 26 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem for Meta's in-house AI accelerator ASICs. The Tooling team provides debugging, profiling, memory analysis, and monitoring capabilities for the whole MTIA Ecosystem, advancing ML accelerator tooling by leveraging Meta's full-stack ownership from silicon specs to fleet observability. In this role, you will be a senior technical contributor responsible for designing and building developer tools that help engineers debug, profile, measure, and monitor AI workloads running on MTIA hardware at scale. You will work at the intersection of compilers, runtime, hardware, and ML frameworks, collaborating with cross-functional partners to deliver a high-quality developer experience for Meta's custom AI accelerators.
Software Engineer, MTIA SW Tooling Engineer Responsibilities:
  • Own the technical vision and roadmap for key areas of MTIA's developer tooling ecosystem, focusing on debugging, workload error analysis, and product / fleet reliability
  • Design and develop debugging tools — including graph-mode debugging, kernel-level diagnostics, and multi-rank fault isolation
  • Contribute to overall MTIA SW tooling infrastructure — enabling profiling, performance debugging, memory sanitization, and reliability analysis for MTIA training and inference workloads
  • Collaborate closely with MTIA compiler, runtime, kernel, and hardware teams to integrate tooling hooks throughout the MTIA software stack
  • Drive AI-native tooling approaches by leveraging automation and LLM-guided diagnostics to improve developer productivity and reduce time-to-root-cause
  • Partner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and prioritize tooling investments
  • Advise on tooling best practices, debugging methodologies, and systems-level analysis for accelerator software
  • communicate architectural decisions clearly through design documents and cross-team reviews

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in systems software engineering, performance engineering, developer tooling, or a closely related field
  • Experience building debugging, profiling, or diagnostic tools for complex software/hardware systems
  • Proficiency in C++ and Python, including low-level systems programming and scripting for tool automation
  • Experience working across multiple layers of a system stack (compiler, runtime, OS/driver, hardware)
  • Experience leading the technical design and delivery of tooling or infrastructure projects from inception through production deployment
  • Experience using data-driven methods and experimentation to evaluate and validate tooling effectiveness and systems performance improvements

Preferred Qualifications:
  • Familiarity with ML framework internals (PyTorch graph execution, torch.compile, operator dispatch) and AI compiler stacks (MLIR, LLVM, TVM, Triton)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with accelerator ecosystems (GPU/CUDA, TPU, custom ASICs) including performance profiling, memory analysis, and runtime debugging using their toolchains (cuda-gdb, nsight-compute, nsight-systems, cuda-memcheck)
  • Demonstrated cross-stack debugging ability, including Linux kernel and driver-level debugging, with capacity to trace issues across application, OS, and hardware boundaries
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with distributed systems debugging or profiling (multi-device, multi-node/multi-rank)
  • Experience with Linux debugging and profiling infrastructure (gdb, perf, eBPF, ftrace, coredump analysis, hardware performance counters) and familiarity with binary formats and debugging metadata (ELF/DWARF)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • 7+ years of experience in systems software, developer tooling, or accelerator software development (or equivalent with advanced degree)
  • Track record of building developer tools adopted by large engineering populations, ideally with contributions to open-source projects (gdb, LLVM sanitizers, Valgrind, Triton, etc.)

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 proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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.
$183,997/year to $257,000/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.

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