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Remote Signal Processing Jobs in Manchester, NH (NOW HIRING)

Registered Dietitian, Remote

Concord, NH · Remote

$31.50 - $42.25/hr

... signals in application materials based on available information. These tools assist our recruitment ... If you would like more information about how your data is processed, please contact us. apply for ...

Registered Dietitian, Remote

Concord, NH · Remote

$32 - $43/hr

... signals in application materials based on available information. These tools assist our recruitment ... If you would like more information about how your data is processed, please contact us.

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Showing results 1-20

Remote Signal Processing information

See Manchester, NH salary details

$53.3K

$130.8K

$192.7K

How much do remote signal processing jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote signal processing in Manchester, NH is $130,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,000.00 and $146,900.00 per year, depending on experience, location, and employer.

What is remote signal processing?

Remote signal processing involves analyzing and interpreting signals, such as audio, video, or sensor data, from a distance using digital tools and algorithms. Professionals in this field work remotely to develop and implement software solutions that process various types of signals for applications like telecommunications, medical imaging, and radar systems. This job typically requires expertise in signal processing theory, programming, and sometimes machine learning, all of which can be done from a remote location using specialized software and collaborative tools.

What are the key skills and qualifications needed to thrive as a remote signal processing engineer?

To thrive as a Remote Signal Processing Engineer, you need a strong background in electrical engineering, mathematics, and digital signal processing (DSP), usually backed by a relevant degree. Familiarity with software tools such as MATLAB, Python, and DSP libraries, as well as knowledge of remote communication protocols, is typically required. Excellent problem-solving abilities, independent work ethic, and effective remote communication skills help set top performers apart. These skills ensure accurate data analysis, efficient collaboration, and the successful development and deployment of signal processing solutions in distributed work environments.

What are some common challenges faced by professionals working in remote signal processing roles, and how can they be addressed?

One common challenge in remote signal processing roles is ensuring reliable data transmission and synchronization when working with distributed or cloud-based systems. Professionals often need to address latency, bandwidth limitations, and data integrity issues, especially when collaborating with geographically dispersed teams. Effective communication, robust data validation protocols, and leveraging version control tools can help mitigate these challenges. Additionally, staying updated with the latest remote collaboration technologies and workflow management tools can streamline project progress and enhance team productivity.

What are popular job titles related to Remote Signal Processing jobs in Manchester, NH?

For Remote Signal Processing jobs in Manchester, NH, the most frequently searched job titles are:

What job categories do people searching Remote Signal Processing jobs in Manchester, NH look for?

The top searched job categories for Remote Signal Processing jobs in Manchester, NH are:

Infographic showing various Remote Signal Processing job openings in Manchester, NH as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $130,780 per year, or $62.9 per hour.

AI Lead Project Manager for Electric Operations Technology

Dunstable, MA • Remote

$80/hr

Full-time

Posted 8 days ago


Job description

Position OverviewThe AI Lead Project Manager for Electric Operations Technology is a senior technical leadership role responsible for the end-to-end delivery of a substation Edge AI product. This role is the functional equivalent of the former Engineering Lead — combining deep technical authority with program ownership to drive a complex, multi-partner integration program from development through field deployment.
The successful candidate owns the full technical integration stack: embedded hardware, software, DSP algorithms, AI/ML engine and models, and OT-grade cybersecurity. They serve as the primary technical interface between internal stakeholders and external partners, and as the accountable delivery lead for integration testing and operational deployment across substation sites.
Key Responsibilities
Product & Program Delivery

  • Own end-to-end delivery of the substation Edge AI product, from architecture baseline through field commissioning.
  • Define and maintain the integrated master schedule across hardware, software, DSP, AI/ML, and security workstreams, tracking dependencies and critical path.
  • Manage partner deliverables: enforce interface control documents (ICDs), integration milestones, and acceptance criteria with each vendor.
  • Drive risk identification, mitigation planning, and escalation across all technical domains.
  • Report program status, risks, and decisions to executive and cross-functional stakeholders.

Technical Leadership & Integration

Serve as the authoritative technical lead for the full Edge AI integration stack, including:
  • Edge compute hardware (selection, qualification, environmental hardening for substation environments)
  • Embedded and real-time software components from multiple supply partners
  • DSP signal processing code (protection, power quality, fault detection)
  • AI/ML inference engine, model integration, and performance validation
  • OT cybersecurity (IEC 62443, NERC CIP compliance, secure boot, network segmentation)

  • Lead system-level integration architecture reviews; resolve cross-domain interface conflicts.
  • Maintain technical authority to accept or reject partner deliverables against agreed specifications.

Integration Testing & Validation

  • Define and own the Integration Master Test Plan (IMTP) covering hardware-in-the-loop (HIL), software integration, DSP functional verification, AI model performance, and end-to-end system validation.
  • Oversee lab integration environments; lead multi-partner integration test events.
  • Drive failure analysis, regression testing, and defect triage to closure.
  • Ensure test evidence package meets utility interconnection, safety, and regulatory requirements.


Field Deployment

  • Lead pilot deployment planning and execution at substation sites, coordinating with operations, field engineering, and protection engineering teams.
  • Manage site readiness criteria, commissioning test procedures, and operational acceptance gates.
  • Establish and oversee rollout playbooks for scaled deployment, including tooling for remote monitoring, firmware updates, and model refresh.
  • Act as technical escalation point during field deployment and early operational support.

Partner & Stakeholder Management

  • Manage technical relationships with hardware vendors, software integrators, AI/ML model providers, and security partners.
  • Chair integration working groups and architecture review boards.
  • Coordinate internally with protection engineering, IT/OT security, operations technology, and grid modernization teams.
  • Align product requirements with regulatory, reliability (NERC), and operational standards of the utility.
Required Qualifications
Education

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Systems Engineering, or a closely related field. Master's degree preferred.

Experience

  • 10+ years of progressive technical experience in electric power systems, OT product development, or related engineering fields.
  • 5+ years in a technical lead, systems engineering lead, or engineering program management role with multi-partner delivery accountability.
  • Demonstrated experience integrating complex embedded systems with hardware and software components from multiple vendors.
  • Prior experience in substation environments (protection & control, SCADA, IEDs, communications) is required.
  • Proven track record delivering technology products through hardware-software integration, test, and field deployment phases.

Technical Knowledge — Required

  • Power systems / substation OT: Protection and control systems, IEDs, SCADA, substation automation (IEC 61850, DNP3, Modbus).
  • Embedded systems integration: Real-time OS, edge compute platforms, hardware bring-up, BSPs, driver-level software.
  • DSP / signal processing: Familiarity with power system signal processing concepts (phasor estimation, FFT, event detection) as applied to protection or power quality.
  • AI/ML at the edge: Understanding of inference pipeline deployment — model optimization (quantization, pruning), inference runtimes (ONNX, TensorRT, TFLite), and model performance validation.
  • OT Cybersecurity: Practical knowledge of IEC 62443 and NERC CIP standards; secure hardware and software architecture in critical infrastructure environments.
  • Systems engineering: Requirements management, interface control, verification and validation (V&V), configuration management.
  • Integration testing: Experience authoring and executing integration master test plans across HW/SW stacks; HIL test environments.

Technical Knowledge — Preferred

  • Experience with grid edge or DER integration (smart grid, AMI, or distributed energy resource management).
  • Familiarity with AI/ML operations (MLOps) pipelines, model versioning, and inference monitoring in production environments.
  • Exposure to functional safety standards (IEC 61508 / IEC 61511) in power systems context.
  • Working knowledge of Linux-based embedded platforms and containerization (Docker, Kubernetes at the edge).
Skills & Competencies
  • Technical authority: Able to drive engineering decisions, challenge partner designs, and resolve multi-domain integration issues — not just coordinate.
  • Program discipline: Skilled in integrated scheduling, dependency management, earned value, and risk/issue tracking for complex hardware-software programs.
  • Communication: Translates technical complexity clearly for both engineering teams and non-technical executive and operations stakeholders.
  • Partner management: Direct experience holding external vendors accountable to contractual and technical commitments.
  • Field orientation: Comfortable working in active substation environments; understands the operational constraints and safety requirements of electric utility infrastructure.
  • Decisiveness under uncertainty: Able to make sound technical and schedule trade-off decisions in complex, multi-variable environments.
Working Conditions
  • Office, lab, and field-based role. Regular travel to partner sites, integration labs, and substation deployment locations required (estimated 25–40%).
  • Work in active substation environments; compliance with all utility safety and PPE requirements.
  • Availability for critical integration events and field deployment windows, which may include off-hours coordination.
Reporting & Organizational Context
  • Reports to: Director / IIJA Product Delivery Lead
  • Works closely with: Protection Engineering, OT Cybersecurity, IT/OT Architecture, Field Operations, Procurement, and external product and systems integration partners.
  • Oversight: Direct or matrixed oversight of integration engineers, test engineers, and partner technical resources.

This is a remote position.