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Assembly Language Programmer Jobs in New York (NOW HIRING)

Home - ARETEC

Senior AI / Backend Engineer

New York, NY · On-site +1

Integrate large language models and build retrieval-augmented generation pipelines over approved ... Build retrieval, ranking, context-assembly, and citation mechanisms that tie summaries and findings ...

Generant Company Inc

Production Engineer

Butler, NJ · On-site

$65K - $85K/yr

They will work with the members of the Engineering department, the Riverdale Assembly Manager, and ... Language Skills : * Fluent in English * Ability to communicate effectively, both in written and ...

Generant

Production Engineer

Butler, NJ · On-site

They will work with the members of the Engineering department, the Riverdale Assembly Manager, and ... Language Skills : * Fluent in English * Ability to communicate effectively, both in written and ...

Generant Company, Inc

Production Engineer

Butler, NJ · On-site

$65K - $85K/yr

They will work with the members of the Engineering department, the Riverdale Assembly Manager, and ... Language Skills : * Fluent in English * Ability to communicate effectively, both in written and ...

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Assembly Language Programmer information

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How much do assembly language programmer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for assembly language programmer in New York is $43.25, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $56.30 per hour, depending on experience, location, and employer.

What is an assembly language programmer?

An Assembly Language Programmer is responsible for writing low-level code that directly interacts with a computer's hardware. They work with assembly language, which is specific to a machine's architecture, to optimize performance and efficiency. These programmers often develop firmware, operating system components, or performance-critical applications where high-speed execution is required. Their role requires in-depth knowledge of computer architecture, memory management, and debugging techniques.

What are the typical daily responsibilities of an assembly language programmer?

As an Assembly Language Programmer, your daily responsibilities often include writing, testing, and debugging low-level code for specialized systems or embedded devices. You may review hardware documentation, optimize existing code for speed or memory usage, and collaborate with hardware engineers or other software developers to ensure seamless system integration. Detailed code documentation and version management are also part of the routine. The work is typically meticulous and requires a high degree of precision, but it offers the opportunity to make significant, tangible impacts on core products and system performance.

What are the key skills and qualifications needed to thrive as an assembly language programmer?

To thrive as an Assembly Language Programmer, you need extensive knowledge of computer architectures, low-level programming, and strong analytical skills, typically supported by a degree in computer science or related field. Familiarity with platform-specific assemblers, debuggers, integrated development environments (IDEs), and version control systems is commonly expected. Attention to detail, problem-solving ability, and clear communication are crucial soft skills for this technical role. These competencies ensure efficient, reliable code that interacts directly with hardware, supporting system stability and performance.

How much does an assembly language programmer make?

Assembly language programmers typically earn between $60,000 and $120,000 annually, depending on experience, location, and industry. Specialized skills in low-level programming and knowledge of hardware architecture can influence salary levels.

Is assembly language still in demand?

Assembly language programmers are still in demand for specialized roles such as embedded systems, firmware development, and performance-critical applications. These positions often require knowledge of hardware architecture and low-level programming, and demand remains steady in industries like aerospace, automotive, and defense.

What are the most commonly searched types of Assembly Language Programmer jobs in New York?

The most popular types of Assembly Language Programmer jobs in New York are:

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For Assembly Language Programmer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Assembly Language Programmer jobs in New York look for?

The top searched job categories for Assembly Language Programmer jobs in New York are:

Assembly Language Programmer jobs near you
Infographic showing various Assembly Language Programmer job openings in New York as of August 2026, with employment types broken down into 60% Full Time, 28% Part Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $89,967 per year, or $43.3 per hour.

Principal AI/ML Engineer, Semantic Data

Major League Soccer

Manhattan, NY • On-site

$235K - $260K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Job description

Overview
Major League Soccer is building advanced AI and data platforms to power fan intelligence, personalization, and data-driven decisioning across the organization.
The Principal AI/ML Engineer, Semantic Data will design and build the semantic intelligence layer that enables consistent understanding of fan data, business concepts, and operational workflows across MLS systems.
This role combines semantic data systems with applied LLM engineering to build grounded, production-grade AI capabilities.
This is a systems engineering role responsible for building and scaling real-world AI infrastructure, including knowledge graphs, retrieval systems, and LLM-powered applications.
Responsibilities
AI & Knowledge Systems Development
  • Design and implement embedding pipelines across fan data, content, metadata, and behavioral signals
  • Build metadata and enrichment systems that normalize and structure enterprise data for AI use
  • Develop knowledge bases and retrieval systems using vector databases and hybrid search architectures
  • Create context assembly pipelines combining structured data, documents, APIs, and historical outputs
  • Enable AI systems to operate on unified semantic representations rather than raw data
Semantic Layer & Knowledge Graphs
  • Architect and manage knowledge graphs representing fan, content, and business entity relationships
  • Define and maintain a semantic layer standardizing metrics, features, and business concepts
  • Design ontologies, taxonomies, and entity models for fan behavior and identity
  • Implement graph-based reasoning and enrichment workflows
  • Ensure semantic consistency across analytics, ML, and operational systems
LLM & Applied AI Systems
  • Design and build retrieval-augmented generation (RAG) systems grounded in semantic data
  • Integrate LLMs for reasoning over structured and unstructured data
  • Develop pipelines translating natural language into structured outputs such as queries and analytical tasks
  • Build and optimize context pipelines improving LLM grounding and factual accuracy
  • Evaluate and integrate open-weight models for domain-specific reasoning
  • Fine-tune or adapt models using parameter-efficient techniques
  • Support deployment of LLM systems in private or on-prem GPU environments
  • Optimize inference workflows for latency, cost, and scalability
  • Enable LLM-driven workflows that reason over semantic data and retrieval systems
Platform & Infrastructure
  • Build scalable, production-grade services and APIs for semantic and AI systems
  • Work with vector and graph databases to support retrieval and reasoning
  • Integrate structured data, documents, APIs, and model outputs
  • Partner with data engineering on batch and real-time pipelines
  • Ensure systems meet performance and reliability requirements
Governance, Evaluation & Reliability
  • Design evaluation frameworks for retrieval quality and LLM output correctness
  • Monitor system performance, relevance, and model behavior
  • Establish guardrails for explainability, traceability, and data attribution
  • Ensure safe and reliable generation of structured outputs
  • Mitigate risks related to bias, data leakage, and inconsistencies
Cross-Functional Collaboration
  • Collaborate with product, analytics, and engineering teams on AI use cases
  • Translate business problems into systems combining semantic data and LLM reasoning
  • Partner with ML teams to improve model performance through better grounding
  • Mentor engineers and establish best practices

Qualifications
  • Master's degree or higher in computer science, engineering, or related field, or equivalent experience
  • 8-10+ years of experience in ML engineering, data systems, or applied AI
  • Strong expertise in Python, SQL, and production software engineering
  • Deep experience with semantic data modeling, ontologies, and entity resolution
  • Hands-on experience with embeddings, vector search, and retrieval systems
  • Experience building and deploying LLM-powered systems including RAG
  • Experience building production-grade AI systems at scale
  • Strong understanding of distributed systems and data architecture
Preferred Qualifications
  • Experience with knowledge graphs and graph databases
  • Experience designing semantic layers or feature stores
  • Experience with open-weight LLMs and model adaptation
  • Familiarity with on-prem or private GPU deployments
  • Experience with modern data platforms (AWS, Snowflake, Databricks)
  • Background in marketing analytics, personalization, or customer data platforms

Total Rewards
Major League Soccer offers a competitive starting base salary of $235,000-$260,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities.
Major League Soccer believes in the value of in-person collaboration to support teamwork, creativity, and connection. Employees in this role are expected to work a four (4) day in-office schedule, with the flexibility to work remotely one (1) day each week, based on business and department needs.
Major League Soccer is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Major League Soccer is committed to providing reasonable accommodations to individuals with disabilities throughout the application and hiring process, as well as during employment. Applicants who require an accommodation may contact Human Resources to request assistance.
Join our team and help support the growth and success of Major League Soccer.

Apply