Build and enhance networking and security functionality across proxy, DNS, VPN, firewall, routing, and related services.
Locations (3)
Augusta, Georgia, United States
Atlanta, Georgia, United States
Denver, Colorado, United States
Compensation
The anticipated base salary range for this position is $160,000-180,000 annually, with final compensation determined based on experience, skills, qualifications, and other job-related factors.
Responsibilities
Build and enhance networking and security functionality across proxy, DNS, VPN, firewall, routing, and related services.
Develop C/C++ data-plane components with attention to correctness, throughput, latency, and resource usage.
Build Go control-plane services, APIs, and tools for configuring and managing multitenant network services.
Implement configuration changes that can be validated, applied reliably, and diagnosed when something goes wrong.
Own well-scoped features and defects from investigation and design through implementation, automated testing, and release validation.
Build the software that connects sensors, robots, and machine learning systems, including the runtime on the robot, the infrastructure behind it, and the tools engineers and operators use to run and debug the system.
Compensation
Base salary: $150,000–$200,000 per year
Responsibilities
Build reliable sensor and actuator interfaces, including synchronization, calibration, and low-latency communication.
Develop the robot runtime: model inference, execution, safety limits, logging, and recovery from faults.
Build data pipelines with clear schemas, automated validation, and useful search and inspection tools.
Profile and improve performance across Linux, networking, storage, camera pipelines, and compute.
Build repeatable deployment and test workflows, with versioning, rollback, and enough telemetry to diagnose failures.
Requirements
Nice to have: Robotics middleware
Nice to have: camera calibration
Nice to have: sensor synchronization
Nice to have: Serving ML models under latency constraints
Build, optimize, and scale the distributed training infrastructure for Peano AI’s foundation models, leveraging thousands of NVIDIA GB300/VR200 GPUs and TPU v7x accelerators for high throughput and efficiency.
Responsibilities
Build, optimize, and scale the distributed training infrastructure
Own and improve throughput, efficiency, scalability, cost, and reliability of end-to-end pretraining and RL pipelines
Architect distributed data loading, sharding, checkpointing, batching, and accelerator utilization for multi-node LLM training
Integrate and optimize RL components: rollout, reward modeling, environment orchestration, and mid-training signal injections
Work with and extend frameworks such as Megatron, Transformer-Engine, verl, slime, and other high-performance training libraries
Requirements
Nice to have: experience with large-scale/foundation-model toolkits
Nice to have: familiarity with training pipeline scaling
Nice to have: mixed-precision
Nice to have: memory optimization
Nice to have: deep understanding of supervised and RL-based training cycles
Lead full‑stack software development for ground systems of autonomous underwater vehicles, owning architecture, implementation, testing, and field support.
Responsibilities
Serve as the Responsible Engineer for the ground software stack
Develop greenfield ground software from initial requirements through field‑tested production
Build frontend and backend software for mission planning, operator workflows, vehicle supervision, telemetry visualization, data review, post‑mission analysis, and remote mission‑control workflows
Design and implement operator‑facing interfaces
Build backend services, APIs, data models, and application logic
Serve as the Responsible Engineer for a major embedded subsystem, developing greenfield embedded software from requirements to production-ready implementation, and owning the subsystem throughout its lifecycle.
Responsibilities
Serve as the Responsible Engineer for a major embedded subsystem
Develop greenfield embedded software from initial requirements and architecture through field-tested, production-ready implementation
Write, review, test, profile, and debug production software in a low-level systems programming language
Design deterministic software for systems with strict latency, jitter, timing, memory, and compute constraints
Bring up new embedded hardware in close collaboration with Avionics and Power Electronics engineers
Requirements
Nice to have: Safety-critical or high-reliability product development
Nice to have: Embedded system lifecycle from blank sheet to production
Nice to have: Autonomous vehicles, underwater systems, UAVs, robotics, aerospace, automotive, industrial controls, medical devices, energy systems
Nice to have: Embedded Linux build and distribution systems
Lead the autonomy and perception stack for Odin Dynamics’ autonomous underwater vehicle platform, owning the full software lifecycle from architecture to field deployment.
Responsibilities
Serve as the Responsible Engineer for the autonomy and perception stack
Develop greenfield autonomy software from requirements to production-ready implementation
Own autonomy behavior across mission planning, path planning, localization, state estimation, sensor fusion, perception, obstacle avoidance, recovery behavior, and fault-aware decision-making
Design and implement algorithms for object detection, recognition, classification, tracking, mapping, navigation, and autonomous decision-making
Develop both machine-learning-based and classical perception approaches
Own product surfaces end-to-end for GTM Apps, shipping full-stack features and ensuring reliability and UX
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Annual Salary: $240,000 - $325,000 USD
Responsibilities
Design, build, and ship full-stack features for GTM Apps
Enable sales team to exceed goals with world-class software
Partner with RevOps, Data Engineering, and field teams to turn processes into durable software
Improve reliability, performance, and user experience for critical software
Build and maintain shared infrastructure for GTM builders
Requirements
Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
C
Magnolia Developer
Custom Business Solutions, Inc · Posted Nov 9, 2026
Contribuer au développement de nos produits de plateforme, open source et propriétaires en tant que SDET senior.
Responsibilities
Proposer et améliorer les plans de tests des projets, avec un focus sur l'approche d'automatisation.
Travailler sur des défis techniques de qualité logicielle stimulants, à travers le code, les tests et les pipelines CI/CD.
Mettre son expérience à profit pour questionner et challenger les pratiques existantes, tout en faisant la promotion des bonnes pratiques QA.
Encourager une culture où la qualité est l'affaire de tous, en accompagnant son équipe, et consacrer son temps aux tests à forte valeur ajoutée plutôt qu'aux vérifications de routine.
Concevoir, maintenir et exécuter des cas de test, et partager son analyse des résultats.
Requirements
Nice to have: AI usage in QA
Nice to have: exposure to financial services or trading
Lead senior software engineer responsible for architecting, designing, and delivering high-throughput, low-latency distributed server‑side systems for trading and risk operations.
Compensation
$120,800.00 - $170,800.00
Responsibilities
Design, build, test, and deploy resilient, highly scalable, low‑latency distributed backend services using Kotlin and/or Java
Lead architecture decisions and code reviews to ensure scalability, thread safety, fault tolerance, and optimal memory management
Drive modular software design, Clean Architecture principles, domain‑driven design, and test‑driven development
Architect and manage CI/CD pipelines utilizing Jenkins, Gradle, and containerization workflows
Package and deploy microservices and distributed workloads using Helm charts on Kubernetes/OpenShift
Requirements
Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Financial Engineering, Mathematics, or a related quantitative/technical discipline (or equivalent practical experience)
Detail
We are looking for a Senior Full Stack Developer with at least 8 years of software development experience and strong, recent hands-on experience with Magnolia CMS. The ideal candidate should have excellent analytical reasoning, critical-thinking, and problem-solving skills. The candidate should be forward-thinking, solution-oriented, and able to communicate technical ideas, recommendations, and risks clearly.
Must have Technical Skills:
· Magnolia CMS, with at least 5 years of recent hands-on experience
· Magnolia templates, components, dialogs, content types, content apps, and custom modules
· Magnolia configuration, content authoring, publishing, workflows, permissions, and troubleshooting
· Magnolia integration with REST APIs and enterprise applications
· Core Java/J2EE
· Deep understanding of JVM, memory management, profiling, and performance troubleshooting
· Spring Framework
· Angular / TypeScript / Node.js
· HTML/CSS
· Jersey and RESTful web services
· SQL, PL/SQL
· Oracle Database
Nice to have technical skills:
· Magnolia upgrades, migrations, and performance optimization
· Magnolia multisite implementation
· Magnolia deployment across development, test, staging, and production environments
· Unix / Shell Scripts
· Docker
· Memcache / Redis
· SAML and single sign-on integration
· CI/CD pipelines
· Production monitoring, logging, and application support
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