Senior engineering role focused on building and deploying commercial AI solutions, integrating edge AI devices, and managing physical AI programs for business customers.
Responsibilities
Own the technical build for a customer deployment or workstream, from scoping the customer-specific changes through deployment, testing, and handoff to steady state.
Write and ship production code for device integrations, sensor and vision data pipelines, model fine-tuning and evaluation, inference services, and ISV integrations on Telecommunication's edge platform.
Lead technical discovery for the workstream with customer engineering teams, turning requirements into implementation plans with clear targets for latency, accuracy, and reliability.
Integrate solutions with Telecommunication's network and edge infrastructure, working with Network RAN and Core engineering on connectivity, network slicing, SIM/eSIM provisioning, and edge compute capacity.
Run Day 0 to 2 deployment and operations for the workstream, including regression testing, observability, incident triage, and root cause analysis of field issues.
The Associate conducts quantitative research, develops analytical frameworks, and generates actionable insights to help institutional investors optimize trading decisions and understand current market dynamics.
Compensation
The role is eligible for an annual discretionary bonus and includes a competitive benefits package including 401(k) plan with company match, Medical/Dental/Vision, and other benefits for fertility, wellness, student loans and commuters. Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.
Responsibilities
Conduct quantitative research and analysis on equity trading, execution quality, liquidity, and market structure across global equity markets.
Analyze large proprietary datasets, including trading datasets, transaction cost analytics, market microstructure data, and alternative data sources.
Develop and maintain research datasets, analytical models, and performance measurement frameworks using Python and related analytical tools.
Identify emerging market structure trends and assess the impact of regulatory changes, venue dynamics, technology developments, and investor behavior on trading outcomes.
Support the expansion of the team's research coverage across European and Asian equity markets.
Lead research and development of cyber security tools and techniques, reverse engineering and exploitation of software and hardware systems for U.S. government operations.
Lead projects or major workstreams involving multi-disciplinary design, development, data analysis, programming, prototyping, integration, testing, or transition activities.
Apply extensive technical expertise to solve complex problems while evaluating alternative approaches, trade-offs, risks, and mission-driven implications.
Influence technical approach towards mission research, systems/subsystems, architecture design and integration.
Structure and manage execution of ambiguous work, translating project objectives into actionable technical plans.
Mentor others within the Group, reviewing work and providing constructive feedback.
Requirements
Bachelor’s degree in a STEM discipline or other relevant technical field
Conduct research and develop cyber security tools and techniques, reverse engineering and exploiting software and hardware systems for U.S. government operations.
Owns and executes discrete design and development tasks such as data analyses, programming, designs, tests, models, simulations, or integration tasks within broader project or program efforts.
Applies relevant technical knowledge to solve less-defined and moderately complex problems, independently identifying appropriate methods and adapts existing approaches as needed.
May contribute to system, subsystem, or component-level development activities that may span multiple disciplines, mission needs, products, or technical focus areas.
Develops, reviews, and contributes to technical documentation, program reporting, data analyses, design materials, and presentations based on ambiguous policies and procedures.
Collaborates with project team members to ensure milestones, assumptions, dependencies, and technical risks are understood and addressed.
Requirements
Bachelor’s degree in a STEM discipline or other relevant technical field
Master’s degree in a STEM discipline
Nice to have: embedded systems firmware reverse engineering
Nice to have: mobile applications reverse engineering
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Founding Platform & Infrastructure Engineer, AI Platform
Build the infrastructure that deploys enterprise AI, owning the platform and infrastructure layer that allows Nexus to deploy securely and reliably inside complex Azure environments.
Responsibilities
Azure deployment architecture: Design the infrastructure patterns Nexus uses to deploy into customer Azure environments across subscriptions, resource groups, networks, identities, and services.
Infrastructure as code: Build reusable Bicep and/or Terraform modules for repeatable provisioning, configuration, upgrades, and teardown of Nexus environments.
Identity and security: Implement Microsoft Entra ID, managed identities, service principals, RBAC, Key Vault, secrets management, least-privilege access, and secure cross-service authentication.
Networking and enterprise connectivity: Design private networking, endpoints, DNS, firewall rules, VNets, hybrid connectivity, and secure access to customer systems.
Deployment automation: Build CI/CD and release workflows that reliably deploy application code, agents, infrastructure, and configuration across development and customer environments.
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