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Autonomy Jobs in New York (NOW HIRING)

Autonomy Health

Founding Engineer

Manhattan, NY · On-site

Autonomy Health is on a mission to transform neurological care by empowering neurologists to launch and operate their own practices. As a Founding Engineer, you will design and build scalable ...

TSMG

Autonomous vehicle Test Operator

New York, NY · On-site

$20 - $24.50/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

TSMG

Autonomous vehicle Test Operator

New York, NY

$20 - $24.50/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

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Autonomy information

What are common challenges faced by professionals working in autonomy?

Professionals in the autonomy field often encounter challenges related to integrating complex hardware and software systems, ensuring safety and reliability, and keeping up with rapidly evolving technology. Collaborating across multidisciplinary teams—such as robotics, AI, and systems engineering—is essential to address these challenges effectively. Additionally, testing autonomous solutions in real-world environments to handle unpredictable scenarios is a critical part of the role, requiring strong problem-solving skills and adaptability.

What skills and qualifications are needed to thrive as an autonomous systems engineer?

To thrive as an Autonomous Systems Engineer, you need a solid background in robotics, computer science, and control systems, typically supported by a relevant engineering degree. Proficiency with programming languages (such as Python or C++), simulation tools (like ROS or Gazebo), and experience with AI or machine learning frameworks are commonly required. Strong problem-solving abilities, creativity, and effective teamwork set top performers apart in this role. These skills are crucial for designing, developing, and improving autonomous technologies that function reliably in complex, real-world environments.

What is the difference between Autonomy vs Project Manager?

AspectAutonomyProject Manager
Required credentialsTypically none; skills in decision-making and independenceProject management certifications (PMP, CAPM), relevant experience
Work environmentIndependent, self-directed roles, often in consulting or freelance workTeam-based, coordinating projects within organizations
Employer and industry usageUsed across various industries for roles emphasizing independenceCommon in construction, IT, marketing, and corporate sectors

Autonomy refers to the degree of independence in decision-making and work execution, often in roles that require self-direction. Project Managers focus on planning, executing, and closing projects within organizations, often working within structured teams. While Autonomy emphasizes independence, Project Managers operate within defined project scopes and organizational frameworks.

What is an autonomy engineer?

Autonomy engineers are professionals who design, develop, and maintain autonomous systems, such as self-driving vehicles, drones, or robotics. Their work focuses on enabling machines to perform tasks without constant human intervention by integrating sensors, control algorithms, and artificial intelligence. Autonomy engineers often collaborate with software developers, hardware engineers, and data scientists to ensure the safe and efficient operation of autonomous technologies. Their expertise is crucial in industries like automotive, aerospace, and robotics, where automation and intelligent systems are rapidly advancing.
What are popular job titles related to Autonomy jobs in New York? For Autonomy jobs in New York, the most frequently searched job titles are:
What job categories do people searching Autonomy jobs in New York look for? The top searched job categories for Autonomy jobs in New York are:
Autonomy jobs near you
Infographic showing various Autonomy job openings in New York as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

SME Network Autonomy

Tata Consultancy Service Limited

Edison, NJ • On-site

$150K - $180K/yr

Full-time

Posted 17 days ago

Job description

Must Have Technical/Functional Skills
Networking Expertise
• Deep protocol level knowledge of BGP, OSPF, MPLS, VXLAN, and SD WAN
• Experience operating and troubleshooting carrier grade or hyperscale networks
AI/ML & GenAI
• Hands on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection)
• Familiarity with ML frameworks such as TensorFlow or PyTorch
Software & Automation
• Expert proficiency in Python (preferred), Go, or C++
• Strong experience with CI/CD pipelines and DevOps practices
• Extensive use of Ansible and Terraform for network automation
Cloud Native Networking
• Experience managing network functions in Kubernetes environments (CNI plugins)
• Hands on exposure to public cloud networking across AWS, Azure, and GCP
Roles & Responsibilities
The Senior Network Autonomy Lead will define and execute the vision for next-generation autonomous networks. The role is responsible for overall architecture design, AI/ML platform selection, and the delivery of closed-loop automation systems that proactively predict failures, dynamically optimize traffic, and autonomously mitigate security threats.
You will lead cross-functional teams spanning networking, data science, software engineering, and cloud platforms to operationalize autonomy at scale across multi-vendor and hybrid environments.
Generic Managerial Skills:
Strategic Vision & Roadmap
• Define and own a multi-year roadmap for network autonomy, spanning Autonomy Levels 0 through to Level 5
• Drive the organizational transition from Infrastructure-as-Code (IaC) to Intent-Based Networking (IBN)
• Evaluate, pilot, and integrate advanced technologies such as Digital Twins for network modeling, simulation, and optimization
• Establish KPIs and success metrics for autonomy maturity, resiliency, and operational efficiency
2. Technical & Architecture Leadership
• Architect and oversee AI/ML-driven platforms for predictive maintenance, anomaly detection, and root-cause analysis
• Lead the design and implementation of closed-loop automation systems where networks observe, decide, and act without human intervention
• Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi-vendor domains
• Ensure scalability, resilience, and security of autonomous control loops in production environments
3. Cross-Functional Leadership
• Lead and mentor senior engineers, architects, and data scientists
• Partner with security, cloud, and platform teams to embed autonomy across the infrastructure stack
• Influence product, procurement, and vendor ecosystems to align with the autonomy vision
Salary Range: $150,000-$180,000 a year
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