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Distribution System Operator Jobs in New York (NOW HIRING)

MLabs

Staff Backend Engineer

New York, NY · On-site

$75K - $500K/yr

Proven track record of building and operating distributed systems at significant scale multiple times. * Technical Stack: Deep proficiency in Rust, Go, or TypeScript . * Data Expertise: Extensive ...

MLabs

Staff Backend Engineer

New York, NY · On-site

$75K - $500K/yr

Proven track record of building and operating distributed systems at significant scale multiple times. * Technical Stack: Deep proficiency in Rust, Go, or TypeScript . * Data Expertise: Extensive ...

MLabs

Staff Backend Engineer

New York, NY · On-site

$75K - $500K/yr

Proven track record of building and operating distributed systems at significant scale multiple times. * Technical Stack: Deep proficiency in Rust, Go, or TypeScript . * Data Expertise: Extensive ...

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Distribution System Operator information

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$14

$32

$56

How much do distribution system operator jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for distribution system operator in New York is $32.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.65 and $35.77 per hour, depending on experience, location, and employer.

What is a distribution system operator?

A Distribution System Operator (DSO) is responsible for managing and controlling the distribution of electricity from the transmission system to end users, such as homes and businesses. DSOs ensure the safe, reliable, and efficient delivery of electricity, monitor real-time grid operations, and respond to outages or emergencies. They also coordinate with power generators, transmission system operators, and other stakeholders to maintain grid stability and integrate renewable energy sources. The role may involve using specialized software, remote monitoring tools, and field operations. DSOs play a crucial part in modernizing the electrical grid and supporting energy transition initiatives.

What are the key skills and qualifications needed to thrive as a distribution system operator, and why are they important?

To thrive as a Distribution System Operator, you need a solid understanding of electrical systems, grid operations, and compliance standards, typically supported by a technical diploma or associate degree in electrical engineering or a related field. Familiarity with SCADA systems, outage management software, and NERC certifications is often required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These competencies are crucial for ensuring reliable power delivery, quick response to disruptions, and maintaining safety and regulatory compliance within the energy grid.

What is the difference between Distribution System Operator vs Substation Technician?

AspectDistribution System OperatorSubstation Technician
Required credentialsRelevant certifications (e.g., CDL, safety training)Electrical certifications, safety training
Work environmentFieldwork on power lines, substations, and distribution networksSubstation equipment maintenance and repair
Employer & industry usageUtility companies, power distribution firmsUtility companies, electrical service providers
Common search & comparison intentRoles involved in power distribution managementTechnical maintenance of substations

The Distribution System Operator oversees the operation and maintenance of power distribution networks, ensuring reliable electricity delivery. Substation Technicians focus on maintaining and repairing substation equipment. While both roles work within the electrical utility industry and require safety and electrical certifications, the Distribution System Operator has a broader responsibility for system management, whereas the Substation Technician specializes in substation equipment.

What is a distribution system operator?

A distribution system operator, or DSO, coordinates the distribution system for a product or good. An electric distribution system operator distributes energy resources, but system distribution operators also work in fields related to water, utilities, and fuel. You monitor system operations, maintain the distribution system, and document any issues or problems. You ensure the electric grid works through various problems and weather conditions. If you work in gas distribution, you oversee the transport of natural gas through pipeline networks and to customers. Your responsibilities and duties include troubleshooting and repairing the distribution system and creating recovery and emergency contingency plans.

What are some typical challenges a distribution system operator faces during emergency situations?

Distribution System Operators often encounter high-pressure scenarios during emergencies, such as severe weather events or equipment failures, where quick decision-making and effective communication are crucial. Balancing the restoration of power while ensuring the safety of field crews and the public can be challenging. Operators must coordinate closely with various teams, prioritize tasks, and adapt to rapidly changing system conditions to minimize downtime and maintain grid stability. Regular training and scenario planning help prepare for these demanding situations.
More about Distribution System Operator jobs
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What job categories do people searching Distribution System Operator jobs in New York look for? The top searched job categories for Distribution System Operator jobs in New York are:
What are popular job titles related to Distribution System Operator jobs in NY? For Distribution System Operator jobs in NY, the most frequently searched job titles are:
Distribution System Operator jobs near you
Infographic showing various Distribution System Operator job openings in New York as of August 2026, with employment types broken down into 82% Full Time, 6% Part Time, 9% Contract, and 3% Nights. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $66,868 per year, or $32.1 per hour.

Software Engineer - GPU Networking & Distributed Systems

Baseten

New York, NY • On-site

$165K - $330K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

Job description

ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.
THE OPPORTUNITY
Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.
In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.
WHAT YOU'LL DO
  • Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
  • Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
  • Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
  • Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
  • Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
  • Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.

WHO YOU ARE
  • You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
  • You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
  • You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
  • You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.

HIGHLY PREFERRED:
  • Deep knowledge of NCCL, NVSHMEM, and UCX.
  • Experience with Rust for systems-level or performance-critical networking code is a strong plus
  • Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
  • Familiarity with TensorRT-LLM, vLLM, or Sglang.
  • Experience running low-level benchmarks to "qualify" new hardware clusters.

Why join the Model Performance team?
  • Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
  • We go deep: We operate at every depth. Whether it's tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
  • High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.

BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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