Design, develop, test, and maintain subsurface software applications and Petrel plug-ins for Chevron Engineering and Innovation Excellence Center.
Responsibilities
Design, develop, test, deploy, and maintain desktop and cloud-based integration solutions using modern software stacks.
Collaborate with geoscientists and engineers to translate domain workflows into robust software applications.
Build and maintain APIs and data pipelines that support seismic interpretation, geologic modeling, and reservoir characterization business capabilities.
Integrate AI/ML models into interpretation and earth modeling workflows.
Ensure software quality, usability, and performance through unit testing, CI/CD pipelines, and cloud-native deployment strategies.
Requirements
Bachelor’s degree in geology, geophysics, computer science, or engineering (master’s degree preferred)
Build and deploy machine learning models for dexterity-driven physical AI robots, collaborating with researchers and engineers to integrate ML into production systems.
Responsibilities
Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.
Implement scalable and efficient software solutions to integrate machine learning models into production systems.
Optimize and fine-tune machine learning algorithms for improved performance and accuracy.
Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.
Provide technical guidance and mentorship to junior team members.
Requirements
Master’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
Verwaltung und Optimierung von HPC- und AI-Clustern sowie Bereitstellung, Administration und Wartung von Software und Hardware der HPC/AI-orientierten Cluster-Computersysteme.
Responsibilities
Betreuung und Unterstützung der wissenschaftlichen Recheninfrastruktur
Verwaltung und Optimierung von HPC und AI-Clustern
Bereitstellung, Administration und Wartung von Software und Hardware der HPC/AI-orientierten Cluster-Computersysteme (CPU, GPU, Storage) sowie allgemeinen Linux-Serversysteme
Konfiguration, Optimierung und Weiterentwicklung von Jobverarbeitung, Priorisierung (z.B. SLURM), Lastverteilung und Monitoring
Fehleranalyse und -behebung sowie Performance-Optimierung der Rechenressourcen
Requirements
Abgeschlossenes Hochschulstudium
Nice to have: Virtualisierungstechnologien wie VMware, Hyper‑V, KVM
Nice to have: Containerisierungstechnologien wie Docker oder Kubernetes
Nice to have: Kenntnisse im Bereich Künstliche Intelligenz oder maschinelles Lernen
Design and implement FPGA‑based DSP systems using HDL, Vitis HLS, and modern FPGA toolchains; develop and optimize DSP algorithms; collaborate with cross‑functional teams; test, verify, and validate FPGA designs; optimize designs for timing, area, power, and throughput; develop reusable hardware IP blocks; maintain documentation; contribute to innovation.
Compensation
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).
Responsibilities
Design and implement FPGA‑based DSP systems using HDL, Vitis HLS, and modern FPGA toolchains.
Develop and optimize DSP algorithms including filtering, detection, synchronization, modulation and demodulation, transforms into high‑throughput, resource‑efficient hardware blocks.
Collaborate with cross‑functional teams to integrate FPGA designs with software, firmware, and larger system architectures.
Test, verify, and validate FPGA designs, ensuring functional correctness, stability, and performance under real‑time constraints.
Optimize designs for timing, area, power, and throughput using HLS directives and traditional FPGA workflows.
Requirements
Bachelor’s degree in an Electrical Engineering or Computer Engineering field
Nice to have: Experience implementing or prototyping DSP algorithms in hardware
Nice to have: Experience with SOSA VPX systems
Applied Scientist II, Sponsored Products and Brands
Applied Scientist responsible for improving agentic solutions in the Sponsored Products and Brands advertising stack, leveraging AI, NLP, and LLM technologies.
Compensation
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
Lead the development of foundation models for content understanding and customer behavior prediction to power Prime Video recommendation and personalization experiences.
Compensation
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
Responsibilities
Develop foundation models for content understanding using deep learning and multimodal learning techniques
Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories
Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences
Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
Effectively communicate technical and non-technical ideas with teammates and stakeholders
Requirements
PhD in Computer Science or related field
Master's degree in Computer Science or related field
Applied Scientist focused on machine learning for Sponsored Products and Brands advertising
Locations (3)
Arlington, Virginia, United States
New York, New York, United States
Seattle, Washington, United States
Compensation
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
Responsibilities
Develop scalable machine learning models and optimization strategies
Conduct research on new machine learning modeling
Enhance scalability, automation, and efficiency of large-scale training and real-time inference systems
Pioneer LLM inference infrastructure for next-generation GenAI workloads
Build systems that automate financial controls, catch errors, and provide fast, trusted answers through AI tools built on cloud services and large-scale data.
Compensation
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Responsibilities
Build services that check purchase requests and orders against finance rules in near real time
Automate financial controls such as reviews of fixed assets, leases, cost centers, open orders
Build data pipelines on AWS including Lambda, StepFunctions, Glue, EMR, DDB, and S3
Build AI agents on Amazon Bedrock AgentCore with the Strands SDK
Build web applications and browser extensions in React and TypeScript
Requirements
Bachelor's degree or equivalent
Nice to have: full software development life cycle
Build the next-generation in-memory database services for AWS ElastiCache and MemoryDB, designing and implementing high-performance, scalable NoSQL systems.
Responsibilities
Design and develop in-memory database technologies including Valkey, Redis OSS and Memcached
Implement horizontal and vertical scaling, data replication, sharding and migration algorithms
Nice to have: Experience developing HLS‑friendly algorithms and optimizing C/C++ code for hardware translation
Nice to have: Experience with porting and adapting vendor RF transceiver reference designs such as RTL, IP cores, and drivers to FPGA evaluation boards and custom platforms
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Applied Scientist II, Sponsored Products and BrandsAmazon · New York, US