SENIOR SALESFORCE DEVELOPER - Durham,NC // Hoboken, NJ

The Select Group is seeking a Senior Salesforce Developer to join a Salesforce CRM Platform team to support the continued growth of a Customer Success Experience (CSX) initiative. This Senior Salesforce Developer will help design, develop, and enhance Salesforce Service Cloud capabilities while supporting multiple enterprise initiatives. The ideal candidate has strong Salesforce development experience and is comfortable learning emerging technologies such as Agentforce and Data Cloud.

What You'll Bring: 

• 5+ years of Salesforce development experience.
• Strong Salesforce Service Cloud experience.
• Hands-on experience with Apex, Lightning Web Components (LWC), Flows, and Salesforce configuration.
• Experience developing APIs and system integrations.
• Agile software development experience.
• Strong communication and problem-solving skills.

Bonus Experience: 

• Salesforce Agentforce experience.
• Salesforce Data Cloud exposure.
• Salesforce sales cloud experience. Role will be roughly 80% service cloud and 20% sales cloud.
• Experience building AI-enabled or automation-focused Salesforce solutions.

What You'll Do: 

• Develop new features and enhancements within Salesforce Service Cloud.
• Build custom Apex classes, Lightning Web Components, Flows, and integrations.
• Participate in Agile ceremonies, sprint planning, and backlog refinement.
• Collaborate with business analysts, architects, and quality engineers to deliver new functionality.
• Support code reviews, deployments, production releases, and issue resolution.
• Contribute to multiple Salesforce initiatives while maintaining development best practices.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-KG1
 

• 5+ years of Software Quality Engineering or QA experience.
• Strong Salesforce Service Cloud testing experience.
• Hands-on test automation experience.
• API and integration testing experience.
• Agile software development experience.
• Strong communication and problem-solving skills.

• Salesforce Agentforce experience.
• Salesforce Data Cloud exposure.
• Experience testing AI-enabled applications or conversational AI.

• Execute manual and automated test cases for Salesforce enhancements.
• Validate Service Cloud functionality and integrations.
• Participate in sprint planning, testing, and release activities.
• Log, track, and retest defects.
• Collaborate closely with developers, product owners, and business stakeholders to ensure high-quality releases.
• Help improve automation coverage and QA best practices.

Sr. Salesforce Agentforce Analyst- Durham, NC / Denver, CO / Hoboken, NJ 
The Select Group is seeking a Lead Business Analyst who will serve as the primary business and functional lead for the CSX Agentforce Transformation Program and act as the bridge between business stakeholders and Salesforce delivery teams. Traditional Salesforce Service Cloud experience alone is not sufficient; the role requires a strong understanding of how an agentic AI layer operates on top of Service Cloud and how prompts, reasoning engines, knowledge sources, datasets, integrations, and business rules affect accuracy, performance, scalability, adoption, and cost.
 
What You'll Bring:

• 7+ years of experience in Business Analysis, Product Ownership, Solution Analysis, Business Architecture, or a related enterprise delivery role.
• Hands-on Salesforce Service Cloud experience.
  • Understanding of Salesforce routing and assignment rules, service-level agreements, and entitlements.
• Hands-on Salesforce Agentforce experience or comparable agentic AI implementation experience.
  • Experience with Salesforce knowledge articles, knowledge management, enterprise data grounding, and AI response validation.
• Generative AI / large language model experience, including prompt engineering.
  • Ability to test AI-generated responses and improve response accuracy and escalation behavior.
• Strong business analysis, requirements gathering, documentation, and stakeholder facilitation skills.
  • Experience translating business needs into technical requirements, workflows, acceptance criteria, and scalable solution designs.
  • Strong communication skills and the ability to work effectively with business leaders, developers, architects, and engineering teams.

• Meet with customer-service leaders and business stakeholders to understand pain points, contact drivers, metrics, KPIs, and desired outcomes.
• Gather and document functional requirements for Salesforce Service Cloud and Agentforce use cases.
• Translate requirements into clear technical stories, workflows, acceptance criteria, prompts, actions, and solution recommendations for engineering teams.
• Participate in architecture, solution-design, and prioritization discussions with Salesforce developers, architects, and quality engineers.
• Help define Agentforce agents, sub-agents, tasks, actions, routing logic, escalation paths, and human handoffs.
• Identify and validate the knowledge articles, databases, customer data, product information, order information, and business rules used to ground AI responses.
• Create, test, and refine prompts to improve accuracy, consistency, efficiency, and customer experience.
• Conduct or support user acceptance testing and validate AI-generated responses against standards and guardrails.
• Investigate hallucinations, inaccurate answers, poor escalations, or performance issues and collaborate on corrective changes.
• Evaluate scalability, token consumption, response efficiency, and operating-cost considerations for high-volume use cases.

Embedded Systems Engineer
This engagement will support standing up a dedicated edge-compute environment for a new LiDAR ground-truth pipeline, operating alongside their existing vehicle edge platform. Our engineer will lead board-level bring-up, BSP development, driver integration, and low-level platform work — partnering closely with the Perception & Sensor Fusion Engineer, who owns sensor calibration, synchronization, and the perception logic running on top of the platform.
What You'll Do

• Design and stand up a dedicated edge-compute unit, potentially using an NVIDIA Orin-class platform, to support LiDAR and multi-sensor processing.
• Own board support package (BSP) bring-up and driver modifications required for camera, LiDAR, and other vehicle sensor integration.
• Implement OS- and microprocessor-level functionality supporting millisecond-level multi-sensor time synchronization.
• Support on-device storage and upload infrastructure for captured sensor data.
• Collaborate closely with perception, platform, and OS engineering teams on hardware/software integration.
• Develop and validate functionality using mock or synthetic sensor data during initial development.

• Strong C/C++ experience, including low-level driver development and BSP/board bring-up on embedded or edge hardware.
• Experience bringing up and developing on RTOS, embedded Linux, QNX, or similar operating systems on ARM-based or comparable platforms.
• Experience working in resource-constrained, real-time edge-compute environments.
• Hands-on experience with camera, LiDAR, radar, IMU, or other sensor integration at the embedded/platform level.
• Prior experience within automotive, ADAS, autonomous vehicles, robotics, drones, or another sensor-intensive autonomous system.
• Strong hardware/software debugging and systems-integration experience.
• Ability to work North American business hours with strong written and verbal communication skills.

• Direct experience with LiDAR integration at the BSP or driver level.
• Experience supporting ADAS, autonomous-driving, perception, or sensor-fusion platforms.
• Experience with NVIDIA Jetson, Orin, DRIVE, or similar edge-compute platforms.
• Experience with multi-sensor time synchronization, hardware timestamping, PTP/PPS, or related technologies.
• Background in autonomous vehicles, robotics, drones, or industrial collision-avoidance/safety systems.

TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. #LI-CH1

Edge ML Application Developer- Bellevue, WA or Santa Clara, CA 
This engagement focuses on building the critical integration layer between the client's on-vehicle machine learning models and real-time, driver-facing features on an edge-compute platform. The internal science team owns core model development; our role is to partner with them to deploy, optimize, and productionize those models on-device; translating research-grade models into reliable, real-time application logic. This includes preparing and synchronizing sensor inputs, tuning models for on-device performance constraints, and architecting the logic that arbitrates and combines outputs from multiple concurrent models into a single, dependable feature decision the driver can trust.
 
What You'll Bring

• Strong Python experience with hands-on deployment and optimization of machine learning models on edge or embedded devices.
• Experience with edge inference frameworks such as TensorRT, ONNX Runtime, TensorFlow Lite, or comparable technologies.
• Experience deploying production computer vision, perception, or deep-learning models in real-time or near-real-time environments.
• Prior experience within automotive, ADAS, autonomous vehicles, robotics, drones, or another sensor-driven autonomous system.
• Experience working with camera, LiDAR, radar, IMU, or other sensor-based perception inputs.
• Experience integrating outputs from multiple models or perception components into unified application or decision logic.
• Strong understanding of latency, memory, throughput, and compute constraints in edge environments.
• Experience with preprocessing, post-processing, confidence thresholds, filtering, tracking, fusion, or output arbitration.
• Ability to work North American business hours with strong written and verbal communication skills.

• Experience with NVIDIA Jetson, Orin, DRIVE, CUDA, or DeepStream.
• Experience with model quantization and optimization techniques such as INT8, FP16, pruning, distillation, or layer fusion.
• Experience with ADAS, collision avoidance, driver monitoring, or other safety-critical vehicle systems.
• Experience with sensor fusion, multi-camera perception, LiDAR processing, trajectory estimation, or 3D perception.
• Strong C++ experience for performance-sensitive inference or perception applications.

• Port, compile, and deploy ML models to resource-constrained edge-compute platforms.
• Optimize model inference for latency, memory, throughput, and hardware constraints.
• Build preprocessing pipelines for camera, telematics, and other sensor inputs.
• Develop post-processing and application logic that combines outputs from multiple concurrent models into unified real-time decisions.
• Implement confidence filtering, prioritization, and arbitration logic across competing model outputs and driver notifications.
• Integrate perception outputs into real-time vehicle features such as alerts, visual indicators, or audible warnings.
• Collaborate with perception, platform, embedded, and OS engineering teams to ensure sensor-data, timing, and runtime compatibility.
• Execute against an established system architecture while iterating quickly as requirements and implementation details evolve.

Senior Optical Transport Engineer – Long Haul Backbone (Mount Laurel, NJ// Denver, CO)

We are seeking a Senior Optical Transport Engineer – Long Haul Backbone for a long-term contract engagement supporting the design, delivery, and activation of backbone wavelength services across a large-scale carrier network. This is a hybrid role requiring onsite presence four days per week in either New Jersey or Colorado.

In this role, you will own the complete lifecycle of backbone wavelength services—from initial feasibility analysis and end-to-end path design through provisioning, validation, testing, customer turn-up, and final service acceptance. You'll be responsible for engineering and delivering high-capacity optical transport services across multi-vendor DWDM networks while ensuring performance, reliability, and operational excellence.

This position follows a single-owner delivery model, where one engineer is accountable for the entire circuit throughout its lifecycle. Rather than handing work off between separate design, provisioning, and testing teams, you will maintain end-to-end ownership across every network segment, including metro ingress, the national backbone, and metro egress, ensuring each service is fully validated and production-ready before customer acceptance.

Required Qualifications 

• 10+ years of hands-on experience engineering, provisioning, or supporting DWDM and optical transport networks in a carrier or large-scale service provider environment.  

• Strong understanding of optical transport technologies, including DWDM, ROADM architectures, wavelength planning, optical amplification, regeneration, OSNR, dispersion, and optical power budgets.  

• Hands-on experience provisioning and troubleshooting services on optical transport equipment from at least one major vendor, with the ability to work across multiple vendor platforms.  

• Demonstrated ability to troubleshoot end-to-end circuits across multiple network segments while isolating faults within complex multi-vendor environments.  

• Strong documentation skills and the ability to work directly with customers, operations teams, field personnel, and vendor support organizations throughout the service delivery process.  

Preferred Qualifications 

• Direct experience with Nokia 1830 PSS, PSD, PSI-M, and related optical transport platforms.  

• Direct experience with Ciena 6500, Waveserver, and RLS optical platforms.  

• Experience supporting long haul or backbone optical transport networks.  

• Familiarity with optical network management and orchestration systems.  

• Experience performing optical service turn-up, customer acceptance testing, and production implementations.  

Key Responsibilities 

Wave and Circuit Design 

• Perform end-to-end feasibility studies and path design for backbone wavelength services, including route selection, regeneration requirements, optical amplification, and reach validation.  

• Engineer optical spectrum across the complete path, including wavelength assignment, fixed-grid and flex-grid alignment, and spectrum utilization to maximize backbone efficiency while preserving future capacity.  

• Select the appropriate transponder, muxponder, and line-side hardware based on service rate, reach, and platform requirements.  

• Validate optical performance against engineering standards before implementation and identify any constraints requiring hardware additions or path modifications.  

• Document the complete service design, including intermediate sites, equipment, ports, and circuit routing.  

Multi-Platform Service Provisioning 

• Provision end-to-end wavelength services across a multi-vendor optical network consisting of Nokia and Ciena transport platforms.  

• Configure and turn up services on Nokia optical transport platforms, including the 1830 PSS, PSD, PSI-M family, and related shelf types.  

• Configure and turn up services on Ciena 6500, Waveserver, and RLS platforms, including transponders, CCMD/CMD components, and line-system elements.  

• Manage service transitions between vendor platforms and ensure optical and framing parameters remain consistent across vendor boundaries.  

• Execute provisioning through element and network management systems while maintaining accurate service records, circuit labeling, and implementation documentation.  

End-to-End Troubleshooting and Customer Turn-Up 

• Perform complete validation of wavelength services before customer handoff, including optical power verification, performance testing, error-free burn-in, and confirmation that service objectives have been achieved across the entire path.  

• Troubleshoot complex issues across multi-vendor optical networks and determine whether faults originate within metro networks, the national backbone, or at vendor boundaries.  

• Diagnose optical impairments including power issues, OSNR, dispersion, span loss, framing errors, timing issues, and service-layer alarms.  

• Coordinate with field operations, network operations, and vendor technical support to resolve issues requiring field dispatch or vendor escalation.  

• Deliver validated, production-ready wavelength services and provide post-installation support for services returning after customer handoff.  

Operational Execution and Handoff 

• Perform end-to-end service acceptance testing, document validation results, and verify that all customer acceptance criteria have been satisfied before placing services into production.  

• Maintain accurate engineering records, service documentation, turn-up results, circuit labeling, and as-built documentation throughout the delivery lifecycle.  

• Execute work in accordance with approved operational procedures and engineering practices to minimize customer impact while maintaining backbone stability.  

 Continuous Improvement 

• Identify opportunities to automate repetitive design, provisioning, validation, and documentation tasks to improve delivery efficiency and reduce manual effort.  

• Contribute to implementation procedures, methods of procedure (MOPs), and operational documentation that support backbone wavelength delivery.  
  
  TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
  #LI-KG1