Principal Software Engineer, VP
State Street · Burlington, US· Full-time · Senior
Senior Software Engineer, ML Performance, GenAI, DeepMind
Google · Mountain View, US· On-site · Full-time · Senior
Applied Researcher 5 (AI Foundations)
Capital One · Cambridge, US+3 more · Full-timeVisa
Staff Engineer, Compiler
Samsung Semiconductor · San Jose, US· On-site · Full-time · Senior
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State Street · Posted Nov 6, 2026
Lead technical strategy and architecture for mission‑critical platforms at Charles River Development, a State Street company.
Salary Range: $120,000 - $202,500 Annual
Serve as a principal technical authority for key initiatives or core modules within Charles River platforms Define and evolve system architecture, design standards, and engineering best practices across teams Provide long‑term technical strategy and thought leadership to senior engineering leaders and executive stakeholders Drive adoption of modern cloud architecture, frameworks, and emerging technologies Lead resolution of high‑risk, complex, or business‑critical challenges Bachelor’s degree in computer science, Engineering, or related field; Master’s degree preferred Nice to have: Master’s degree Nice to have: Machine Learning Nice to have: AI Nice to have: cognitive Computing retirement savings plan (401K) with company match basic life, medical, dental, vision, long‑term disability insurance paid‑time off including vacation, sick leave, short term disability, and family care responsibilities Employee Assistance Program incentive compensation including eligibility for annual performance‑based awards Google · Posted Nov 5, 2026
Software Engineer focused on performance optimization of generative AI models and TPU platforms at DeepMind
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Drive down the cost per token of Gemini inference by optimizing throughput, accelerator utilization, batching, scheduling, and KV cache efficiency Bring Gemini to new TPU generations by characterizing hardware at launch, tuning kernels, sharding, and serving configurations Implement model compression techniques such as quantization and sparsity to reduce cost per token Evaluate new architectures, optimizers, and training methods to achieve target quality with reduced compute requirements Bachelor's degree in Computer Science, Software Engineering, Mathematics, or related STEM field Master's or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical field Nice to have: technical leadership Nice to have: architectural direction Nice to have: guiding project teams Capital One · Posted Nov 3, 2026
Visa sponsorship Partner with cross‑functional teams to deliver AI‑powered products that transform customer interactions and build AI foundation models.
Cambridge, Massachusetts, United States McLean, Virginia, United States New York, New York, United States San Jose, California, United States The minimum and maximum full-time annual salaries for this role are listed below, by location. Cambridge, MA: $262,500 - $299,600; McLean, VA: $262,500 - $299,600; New York, NY: $286,400 - $326,800; San Jose, CA: $286,400 - $326,800
Partner with data scientists, software engineers, ML engineers and product managers to deliver AI‑powered products Samsung Semiconductor · Posted Nov 4, 2026
Lead the architecture, design, and implementation of ML compilers for high-performance deep learning applications, targeting next-generation AGI hardware platforms.
Lead the architecture, design, and implementation of ML compilers Design and evolve a staged lowering infrastructure Invent and implement novel optimization algorithms Act as the technical bridge between compiler and hardware teams Influence and align cross-functional teams Bachelor’s Master’s PhD Nice to have: LLVM Nice to have: MLIR
Leverage Pytorch, AWS, Huggingface, Lightning and other technologies to extract insights from large datasets
Build AI foundation models through design, training, evaluation, validation and implementation
Engage in applied research to advance AI capabilities
Lead research threads bridging prototype development and production deployment PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics or related fields Nice to have: PhD focus on NLP Nice to have: 5+ years industrial NLP research Nice to have: Publications in ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR Health benefits Financial benefits Other benefits supporting well‑being
Medical/Dental/Vision/401k Paid time off Holiday and sick leave Fertility care stipend Adoption support
Senior Software Engineer, ML Performance, GenAI, DeepMindGoogle · Mountain View, US
Staff Engineer, CompilerSamsung Semiconductor · San Jose, US