Top Tech Jobs & Startup Jobs

Leads cross-functional hardware and software upgrade projects for mission-critical customer systems across AMEA, ANZ, and LACR. Responsibilities include managing scope, schedules, budgets, dependencies, risks, and KPIs; coordinating stakeholders, technical teams, supply chain, finance, and leadership; resolving architectural and delivery bottlenecks; providing executive reporting; and developing mitigation plans. The role requires technical project management experience in telecom, systems integration, software deployments, or IT managed services, plus knowledge of LMR and wireless systems.

Develop and execute global electro-mechanical procurement category strategies, lead supplier negotiations, manage supplier relationships and performance, mitigate supply and market risks, drive cost reductions, ensure component supply assurance, and lead strategic projects improving cost, quality, delivery, manufacturability, and supply resilience.

Develop and optimize high-performance C++ video analytics software for embedded hardware and SoC platforms. Build low-latency GStreamer video pipelines, deploy deep learning and computer vision models, port algorithms across edge devices, and debug memory, concurrency, performance, and latency issues in resource-constrained Linux environments.

Support pre-sales for HindSight by gathering technical requirements, assisting demos, building accurate quotes and BOMs, documenting scope and handoffs, validating assumptions with internal teams, and learning integrations across on-prem, virtualized, hybrid, and cloud deployments.

Design, develop, deploy, and operate scalable backend services, microservices, APIs, and event-driven systems for cloud and IoT platforms. Build CI/CD pipelines and cloud-native deployments, secure device-to-cloud communications, optimize SQL and NoSQL data models, and troubleshoot application, messaging, network, and infrastructure issues. Collaborate with network and security teams, mentor engineers, conduct code reviews, and promote reliable, secure, maintainable production systems.

Design and build scalable data-processing pipelines for machine learning using large RF datasets. Develop real-time algorithms, benchmark performance, secure and distribute data streams, deploy algorithms across AWS infrastructure, and create reusable components connecting research and production teams. Collaborate with designers on responsive backend services while using Python, NodeJS, Linux, Docker, Kubernetes, and DevOps tools.

Own the strategy, roadmap, feature definition, release planning, and go-to-market support for Motorola Solutions’ device portfolio. Analyze customer needs, markets, and competitors; define product requirements, business cases, KPIs, and financial goals; and lead cross-functional teams across engineering, supply chain, marketing, sales, finance, support, and partners from conception through launch and sunset.

Provide technical support in a 24/7 Network Operations environment by troubleshooting video management systems, cameras, servers, hardware, and IP networks. Monitor alerts, document cases, manage escalations, communicate with customers, collaborate with Engineering, provide maintenance updates, follow KCS practices, and mentor colleagues. The role requires active U.S. military service eligibility for DoD SkillBridge and successful completion of a CJIS-related fingerprint background check.

Designs and integrates RF circuits and subsystems from concept through mass production. Performs hands-on testing, debugging, root-cause analysis, and optimization of RF performance. Reviews schematics, guides high-frequency PCB layout, operates cellular communication testers, and collaborates with system, mechanical, software, and manufacturing engineers to resolve hardware issues in new and legacy products.

Develop UEM application features for on-premises, cloud-based, and hybrid network management solutions. Build Java backend and frontend components using Spring and Tomcat, work with PostgreSQL databases, and contribute to applications involving network technologies such as SNMP and Kafka.