Top Tech Jobs & Startup Jobs

Design, optimize, and deploy machine learning models for resource-constrained edge devices, including mobile and embedded platforms. Apply model compression, quantization, pruning, hardware-aware optimization, performance profiling, and systems engineering to deliver production-ready on-device AI. Collaborate cross-functionally while addressing compute, memory, energy, connectivity, privacy, and security constraints. Preferred work includes custom NPU/DSP toolchains, federated learning, safety-critical deployments, open-source contributions, and on-device LLM optimization.

Lead mechanical engineering and capital projects up to $5 million in a heavy industrial plant. Manage design, fabrication, machine FAT, commissioning, startup, drawings, 3D modeling, BOMs, spare-parts requirements, risk assessments, vendors, and contractors. Provide floor-based engineering support and drive continuous improvement in a high-temperature, high-noise production environment.

Build and operate large-scale data infrastructure supporting AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, reproducibility, dataset versioning, and high-throughput delivery to accelerator-based training workloads. The role requires operating petabyte-scale systems, applying distributed systems and software engineering practices, and collaborating cross-functionally. Preferred experience includes multimodal datasets, data quality tooling, privacy-preserving systems, open-source infrastructure, and frontier model training.

Lead complex, cross-team software engineering initiatives; design scalable systems and architectures; provide technical mentorship; drive reliability, observability, operational excellence, engineering standards, and platform modernization. The role also involves influencing engineering culture, operating large-scale production systems, and applying cost-aware engineering practices.

Design, implement, and deploy reinforcement learning systems for sequential decision-making in simulated and real environments. Develop RL algorithms, reward functions, simulation environments, distributed training infrastructure, evaluation protocols, and safety mechanisms. Apply offline RL, imitation learning, RLHF, and DPO where appropriate. Monitor production models for drift and unintended behavior, collaborate with scientific and product teams, and translate research into scalable, production-ready solutions.

Define and lead enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Establish standards for data modeling, pipelines, lakehouse and streaming patterns, security, lineage, disaster recovery, and cost optimization. Partner with engineering, analytics, ML, and product teams; lead architecture reviews and major platform initiatives; mentor engineers and architects; and produce architecture documentation and reference patterns.

Design, deploy, and manage secure, scalable cloud networking infrastructure across AWS, Azure, or GCP. Responsibilities include VPC/VNet architecture, routing, hybrid connectivity, transit gateways, DNS, edge networking, Kubernetes networking, Terraform automation, security, monitoring, troubleshooting, and cost optimization. The engineer collaborates with security and engineering teams to deliver reliable enterprise cloud connectivity solutions.

Designs and governs Salesforce integrations across enterprise systems, defining middleware, API, event-driven, data synchronization, identity, security, reliability, and scalability strategies. Leads architecture and design reviews, manages platform limits, creates architecture documentation, evaluates vendors, collaborates with cross-functional stakeholders, and mentors engineers. The role requires deep Salesforce integration expertise, enterprise middleware experience, strong communication, and leadership of complex integration programs.

Build and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Develop backend C#/.NET solutions, front-end interfaces, content models, integrations, and CI/CD deployment pipelines. Implement headless experiences with JSS or Next.js, support platform upgrades and legacy migrations, and apply composable architecture patterns. Collaborate with editors and marketers while delivering scalable multi-brand and multi-region solutions.

Designs and governs enterprise Salesforce architectures across complex, multi-org environments. Leads solution design, technical governance, data and security modeling, integrations, DevOps, performance optimization, and release strategies. Partners with stakeholders and engineering teams to deliver scalable CRM solutions, produces architecture documentation, coordinates compliance controls, and mentors technical staff. Requires deep Salesforce platform expertise, enterprise architecture experience, and relevant Salesforce certifications.