Top Tech Jobs & Startup Jobs in Boston, MA

Optimize and compress large language and vision models for on-device inference. Build distillation and hardware-specific compilation pipelines, benchmark performance across NPU/GPU architectures, and deploy models to edge environments.

Design and implement advanced control algorithms for bipedal locomotion and manipulation. Train RL policies in simulation and deploy them on physical hardware. Perform sim-to-real transfer and analyze gait and kinematics telemetry.

Design and implement Visual-Inertial SLAM pipelines, dynamic obstacle avoidance, and predictive path planning. Optimize navigation algorithms for low-compute edge deployment and deploy autonomous navigation on robotic platforms.

Design and integrate vision encoders and audio-native models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs while ensuring efficient cross-modal alignment.

Design, orchestrate, and optimize large-scale LLM pre-training runs across 1,000+ GPUs using PyTorch/DeepSpeed/Megatron-LM. Improve networking (InfiniBand/RDMA) and memory management, implement 3D parallelism, and automate checkpointing and failure recovery for month-long training jobs on SLURM or Kubernetes GPU clusters.

Design and optimize electromechanical systems, specify/test/tune BLDC motors, harmonic drives, and gearboxes; develop motor control firmware (FOC) in C/C++ for microcontrollers; collaborate with mechanical engineers on joint design and thermal management; integrate industrial communications (EtherCAT, CAN bus).

Develop intent-recognition models from gaze, gesture, and voice data; implement socially aware navigation algorithms respecting personal space; and design visual and auditory feedback for robot user interfaces. Conduct user studies and rapid prototype AI-driven voice and visual interaction systems to test and refine HRI paradigms.

Design and run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tools, and develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.

Design and validate functional safety systems for robotic products to meet ISO 13849 and ISO 3691-4. Implement redundant safety-rated PLCs and collision-avoidance logic, conduct FMEA on hardware and software, and ensure rigorous systems engineering, testing, and compliance.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable microservices on Kubernetes; and create observability dashboards tracking token usage, latency, and agent reasoning.