Design and implement advanced control algorithms for bipedal locomotion and manipulation. Train reinforcement learning policies in simulation and deploy them to physical robots. Perform sim-to-real transfer and analyze gait and kinematics telemetry to improve performance.
We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.
Responsibilities:
- Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
- Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
- Conduct sim-to-real transfer and analyze gait/kinematics telemetry.
Required Skills:
- Strong background in Model Predictive Control (MPC) and Whole-Body Control.
- Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
- Familiarity with modern RL frameworks.
Similar Jobs
Financial Services
Provide application support and SRE for Securities Services across APAC, manage production incidents to resolution, run DR exercises, troubleshoot databases and reports, develop automation and monitoring, conduct RCA and preventive actions, and lead adoption of enterprise AI to improve incident triage and operational resilience.
Top Skills:
AppdynamicsAutosysAWSCassandraCloudwatchControl-MDynatraceEc2EksEnterprise AiGCPGrafanaItrs GeneosKubernetesLinux/Unix ShellMs-SqlOraclePerlPostgresPythonRdsS3SplunkSQLUnixWindows
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead technical engagements for major enterprise accounts: architect observability, AIOps, and security solutions; run PoVs/POCs; present to C-suite; support sales and partners; evangelize at events; and provide product feedback to improve market fit.
Top Skills:
.NetA2A OrchestrationAgentic AiAi SdlcAnsibleAtlassianAWSAws Devops AgentAzureAzure Sre AgentCi/CdCloud ArchitectureCloud ObservabilityContainersCSSDatabasesDynatraceDynatrace IntelligenceGCPGoGrailHTMLJavaJavaScriptKubernetesLinuxLlmLog AnalyticsMcp ServersNode.jsOpenshiftPHPPuppetRedhatServerlessServicenowServicenow IntegrationsSIEMSmartscapeTerraformWindows
Cloud • Security • Software • Cybersecurity • Automation
Serve as a technical pre-sales advisor for ANZ customers: lead discovery, demos, POCs/POVs and workshops; design solutions using GitLab, DevSecOps and cloud practices; influence adoption and revenue; provide customer feedback to product teams and create reusable technical collateral.
Top Skills:
AICi/CdCloud ComputingCollaboration PlatformsContinuous DeploymentContinuous IntegrationDevsecopsGitGitlabSource Control
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
