Top Tech Jobs & Startup Jobs

Designs and builds software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Partners with hardware and EDA teams to improve silicon development, yield, performance, and quality. Responsibilities include developing software with C, C++, and Python; building cloud, grid, and HPC infrastructure; creating data pipelines; debugging low-level hardware-software interactions; reviewing designs and code; and mentoring junior engineers.

Designs, develops, tests, deploys, monitors, and supports enterprise integrations using Oracle Integration Cloud. Connects Oracle Cloud Applications, on-premises Oracle systems, and third-party platforms while applying integration patterns, API management, security standards, and Oracle data models. The role includes full lifecycle ownership, troubleshooting, documentation, migration from Oracle SOA Suite, and collaboration across technical stakeholders.

Designs and governs scalable cloud-native architectures across compute, networking, data, identity, and security. Partners with stakeholders, security architects, and engineering teams on cloud migration, modernization, platform consolidation, architecture reviews, and enterprise standards. Produces architecture artifacts, presents to senior leadership, and balances security, cost, maintainability, and delivery speed. Requires deep expertise with at least one major cloud platform and strong knowledge of networking, identity, containers, serverless, and managed data services.

Designs and operationalizes large language model fine-tuning workflows using supervised, preference-based, and reinforcement learning methods. Responsibilities include dataset construction, evaluation design, distributed GPU training, failure recovery, production deployment, and collaboration with cross-functional teams. The role also involves code and design reviews, mentoring junior engineers, and shipping impactful LLM work.

Develop and customize Salesforce solutions using Apex, Lightning Web Components, SOQL/SOSL, APIs, and Salesforce DX. Implement integrations, security models, deployment practices, and platform best practices. Candidates must have at least five years of Salesforce development experience and hold a minimum of three specified Salesforce certifications. This is a one-year-plus onsite contract position in Lansing, Michigan.

Designs and operates observability platforms covering metrics, logging, tracing, dashboards, alerting, and telemetry pipelines. The role requires managing high-throughput, high-cardinality data, improving signal quality and usability, integrating observability with CI/CD and incident tools, and applying SRE practices including SLOs and error budgets. Responsibilities also include evaluating open-source and commercial platforms, optimizing costs, and supporting operational insights for engineering and business stakeholders.

Design, train, evaluate, and deploy reinforcement learning systems for complex decision-making problems. Responsibilities include developing RL algorithms and reward models, building simulation and large-scale experience-collection environments, training neural network policies on GPU clusters, and moving research solutions into stable, safe production systems. The role may also involve RLHF, multi-agent or hierarchical reinforcement learning, robotics, control systems, and autonomous driving applications.

Design, build, and integrate software for autonomous robots across perception, sensor integration, localization, motion planning, control, and behavioral systems. Develop production-grade robotics software using C++, Python, ROS, simulation environments, and real-time systems. Support hardware integration and field testing, debug concurrent systems, collaborate cross-functionally, conduct code and design reviews, and mentor junior engineers.

Designs, develops, and maintains automated testing frameworks for web applications, APIs, and distributed systems. Expands test coverage, integrates automation into CI/CD pipelines, and supports continuous testing in Agile environments. Responsibilities include risk-based and exploratory testing, REST API automation, data validation with SQL, debugging, documentation, and collaboration with development teams. Preferred experience includes performance testing, Docker, Kubernetes, cloud testing platforms, behavior-driven development, and security testing fundamentals.

Conduct applied AI research and build production-grade machine learning systems. Responsibilities include framing problems, training and evaluating deep learning models, adapting current research, developing scalable pipelines, deploying models with observability and safeguards, and continuously improving applied AI solutions. The role also involves distributed and mixed-precision training, production engineering, research communication, and potentially large language models, retrieval-augmented generation, multimodal systems, and responsible AI.