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Assistant Compiler Software Engineer information
What is the difference between Assistant Compiler Software Engineer vs Compiler Software Engineer?
| Aspect | Assistant Compiler Software Engineer | Compiler Software Engineer |
|---|---|---|
| Required Credentials | Bachelor's degree in Computer Science or related field; some experience or internships | Bachelor's or Master's degree; more experience in compiler development |
| Work Environment | Entry-level, team-based, collaborative projects | Mid-level to senior, focused on designing and optimizing compilers |
| Industry Usage | Tech companies, research labs, startups | Established tech firms, software development companies |
The Assistant Compiler Software Engineer typically has less experience and focuses on supporting compiler development tasks, while the Compiler Software Engineer handles more complex design, optimization, and implementation responsibilities. Both roles require a strong foundation in programming and compiler theory, but the seniority and scope differ.
What are the most commonly searched types of Compiler Software Engineer jobs in New York?
The most popular types of Compiler Software Engineer jobs in New York are:
What are popular job titles related to Assistant Compiler Software Engineer jobs in New York?
For Assistant Compiler Software Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Assistant Compiler Software Engineer jobs in New York look for?
The top searched job categories for Assistant Compiler Software Engineer jobs in New York are:
What cities in New York are hiring for Assistant Compiler Software Engineer jobs?
Cities in New York with the most Assistant Compiler Software Engineer job openings:

Software Engineer, MTIA SW Performance Autotuning
New York, NY
$154K/yr
Full-time
Posted 13 days ago
Meta rating
7.8
Based on 45 frontline employees who took The Breakroom Quiz
Job description
Software Engineer, MTIA SW Performance Autotuning Responsibilities:
- Own the performance autotuning strategy for MTIA inference and training — current and future chip generations
- Build and maintain our autotuning infrastructure: search spaces, cost models, benchmarking harnesses, and performance regression detection
- Define how we trade off search cost against performance gains, and where autotuning fits in the compile/deploy pipeline
- Partner with kernel and compiler teams to expose tunable parameters and encode them into an automated search
- Debug performance issues that span multiple layers — kernel, runtime, compiler, or serving infra — and drive them to root-cause
- Collaborate with product teams to accelerate model performance on MTIA
- Set technical direction and help the team grow. We've scaled fast and need people who can elevate the impact around them, not just ship their own code
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Strong Python and C++ skills, with hands-on experience across the PyTorch stack
- 4+ years in ML systems, AI infra, performance engineering, or similar
- Experience driving problems that span multiple teams, where no one owns the whole picture
- Experience with accelerator performance concepts — roofline analysis, memory bandwidth, occupancy, and what makes kernels fast or slow on hardware
- Track record of setting technical direction and mentoring engineers
- BS in CS, CE, Math, or equivalent experience
Preferred Qualifications:
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- 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 with production ML models (recommender systems, LLMs, ranking) is useful but not required
- Hands-on experience with torch.compile, TorchInductor, or other ML compiler stacks (XLA, TVM, MLIR, Triton)
- Experience with autotuning, cost models, or search-based optimization (e.g., Ansor, AutoTVM, learned schedulers)
- MS or PhD in CS, CE, compilers/systems, or related
- Experience with hardware bring-up or accelerator development (GPU, TPU, or custom ASIC)
- Experience with kernel-level performance optimization — tiling, scheduling, memory layout, fusion, and how they interact on real hardware
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.
$154,003/year to $217,000/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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US